48th week of 2021 patent applcation highlights part 63 |
Patent application number | Title | Published |
20210374869 | METHOD AND APPARATUS FOR INSURANCE AND CALCULATION OF PREMIUMS FOR FIREARMS AND RELATED EQUIPMENT - A method of calculating an insurance premium for a firearm and related equipment purchased by a buyer includes receiving information of the buyer by a computer, and collecting data from one or more databases about the buyer by the computer in response to the received information. The method calculates the insurance premium based on a type of the firearm purchased and related equipment and the collected data. | 2021-12-02 |
20210374870 | CUSTOM DATA - A technique of obtaining update data from a database includes accessing configuration data associated with a particular entity in a plurality of entities. The configuration data includes a specification of how to extract a set of entity generated data records from a remote data store associated with the particular entity. The remote data store associated with the particular entity comprises common data elements shared by the plurality of entities and entity-specific data elements specified by the particular entity. It further includes determining whether values for a data field specified in the configuration data have been previously extracted from the remote data store. It further includes generating, according to the specification included in the configuration data, a query for values associated with the data field. Generating the query comprises determining a range indicator that indicates a time period of data values to be extracted. The range indicator is determined based at least in part on the determination of whether values for the data field have been previously extracted. It further includes, based at least in part on the generated query, extracting, from the remote data store, values for the data field corresponding to the determined range indicator. It further includes storing the extracted values to a data store of a central host component that provides services to the plurality of entities. | 2021-12-02 |
20210374871 | Vehicle Repair Estimation System and Method - A vehicle repair estimate platform for collecting vehicle repair data from a depth and dimension measuring camera and generating a manipulatable three-dimensional model of the vehicle damage. An estimate is generated based on insured claim attributes and predefined vehicle damage parameters, and the estimate tagged for periodic selection for inclusion in a wide area repair estimate matrix. | 2021-12-02 |
20210374872 | VARIABLE COPAY SYSTEM - A computing system receives an indication of a pharmaceutical to be prescribed to a patient. Based on the indication, the computing system receives benefit information from a payer system associated with the patient. The computing system receives one or more rules associated with a manufacturer system associated with the pharmaceutical to be prescribed to the patient. The computing system generates a variable copay program for the patient. The variable copay program includes a variable amount of copay assistance for each fill of the pharmaceutical to be prescribed to the patient. The computing system generates a table accessible to one or more third party systems, wherein the table comprises the variable copay program. | 2021-12-02 |
20210374873 | SYSTEM AND METHOD FOR CASE MANAGEMENT RISK STRATIFICATION - A server is programmed to predict high burden behavioral health insurance plan participants. The server receives health data from several data sources. The data is associated with the insurance plan participants. The server develops data variables and risk metrics relating to behavioral health of the participants. Sample data is collected from the health data. The sample data includes a first sample data set including a plurality of first values relating to the plurality of data variables, and a second sample data set including a plurality of second values relating to the plurality of risk metrics. The server analyzes the first and second sample data sets to determine one or more correlations between the first values and the second values. The server configures a software model to implement the correlations to predict which of the participants are at risk of becoming burden behavioral health insurance plan participants. | 2021-12-02 |
20210374874 | PLATFORM AS A SERVICE SERVING THE HEALTHCARE MARKETPLACE - A system for processing consumer and financial transactions related to past and future healthcare services and healthcare service searches or inquiries is claimed. The system generates a presenting a health plan member with options regarding fulfilling the healthcare service net due amount with applicable discounts and implements a decision scoring system for a platform for processing healthcare related transactions. | 2021-12-02 |
20210374875 | SYSTEMS AND METHODS FOR ENHANCED SITUATION VISUALIZATION - An augmented reality (AR) system for generating and displaying an enhanced situation visualization (ESV) is provided. The AR system may include an ESV computing device, a user computing device operated by a user and a reference database. The user computing device may transmit a reference request message to the ESV device, the reference request message including an image representative of a current view of a user. The ESV computing device may determine a subject of the image, retrieve reference information associated with the subject from the reference database, and determine situation information specific to the subject. The reference and situation information may be displayed on the user computing device to provide an ESV of the subject. The ESV may be used for insurance-related activities, such as handling, adjusting, and/or generating homeowner's insurance claims, and/or for instructional guidance. | 2021-12-02 |
20210374876 | METHODS AND SYSTEMS FOR MAINTAINING PHARMACY PROVIDER NETWORKS - Methods and systems for maintaining pharmacy provider networks are described. In one embodiment, claims adjudication data associated with a member and a prescribed drug is accessed. The prescribed drug associated with the member is classified as one of an acute medication and a maintenance medication. A pharmacy provider network is associated with the prescribed drug based on, at least in part, classifying the prescribed drug. It is determined if a pharmacy associated with the claims adjudication data is included within the pharmacy provider network associated with the prescribed drug. A pharmacy claim may be adjudicated for the prescribed drug based on the claim and the pharmacy provider network. Additional methods and systems are disclosed. | 2021-12-02 |
20210374877 | SYSTEM AND METHOD FOR RECOGNIZING REVENUE AND MANAGING REVENUE LIFECYCLES - A system and method for calculating variable consideration for performance obligations. The method can involve, checking a database for historical transaction data, accessing the historical transaction data, and applying one or more predetermined variable consideration rules to the historical transaction data. The method can include automatically analyzing the historical transaction data generating an analysis report based on the data. The method can include uploading predetermined corrections to variable consideration transactions to a database or other storage medium and applying the corrections to historical performance obligation transaction data. The method can include determining whether variable consideration changes should be applied to individual transaction lines within the variable consideration transactions. | 2021-12-02 |
20210374878 | SYSTEMS AND METHODS FOR VIEWING, RATING, AND RANKING CONTENT - A system for ranking creative content online is provided that includes at least once computing device communicatively coupled to a plurality of other devices over a computer network. The at least one computing device is configured at least to: cause a first interface screen to be displayed on at least one of the plurality of the other computing devices, the first interface screen including therein at least one form element for a content creator to upload media content to the at least one computing device; receive and mark the uploaded media content with an upload date and time; assign the media content received to one of a plurality of modes, comprising a recent mode, wherein the media content is assigned to the recent mode and continues to be associated with the recent mode for a first period of time that begins at the upload date and time; and cause a second interface screen to be displayed on the plurality of the other devices, the second interface screen including a plurality of selectable tabs each corresponding to the plurality of the modes, including a recent tab that when selected displays media content associated with the recent mode, the second interface screen comprising at least one selectable icon for users to assign a first rating to media content associated with the recent mode. | 2021-12-02 |
20210374879 | ALPHA SCOUT STAR SYSTEM AND METHOD - A social media platform for recruiting student-athletes enables student-athletes of any age to create detailed profiles, upload videos and photos, and post information to generate recruiting interest. Coaches, scouts, recruiters, and the like can also create profiles on the platform so they can recruit student-athletes. Artificial intelligence enables coaches and scouts to build prototypical student-athlete profiles and receive notifications when a student-athlete's profile matches a prototypical profile. The coach can then provide a rating for the “match” and provide feedback based on how closely related the prototypical profile and student-athlete profiles are. The Artificial intelligence receives the rating input with feedback and can learn to identify better matches in the future. | 2021-12-02 |
20210374880 | DISTRIBUTED SELF MODERATING SOCIAL COLLABORATION SYSTEM - A distributed network of servers, independently managed from each other, having specialized capability to receive, process, and forward social media moderating and censoring commands. In one example, the moderating and censoring commands are processed by a state machine contained in the special capability servers. Individual users are able to subscribe to more than one server. Individual users are able to choose among a plurality of separate human interfaces or “skins” or apps to meet their social media interface preferences. | 2021-12-02 |
20210374881 | CROP MONITORING TO DETERMINE AND CONTROL CROP YIELD - A method of predicting crop yield includes generating, via a processor, a plurality of vectors representative of growing conditions for a current time period and a plurality of vectors representative of growing conditions for a previous time period. The processor compares the plurality of vectors for the current time to the vectors of the previous time periods for corresponding growing conditions and determines which previous vectors are closest to the current vectors. The plurality of previous time periods are each associated with crop yields. Thus, the processor can determine a crop yield for the current time period for a selected crop producing field and crop type based on crop yields for the closest previous time periods. | 2021-12-02 |
20210374882 | Method and System for Data Tracking and Exchange - Aspects of the present disclosure are directed to electronic computer implemented tracking method and system for an article of manufacture. In one aspect, a plurality of computer readable records are electronically maintained and stored in a computer readable database. In one step, a temporary virtual record is generated with EDI data payload including a transaction record attribute, a location transfer request attribute for designating a transfer location of an article of manufacture, and a recipient user biometric ID attribute. Next, electronically via data communications network tunnel, EDI data payload representative of the transaction record attribute and the location transfer request attribute is transmitted; and responsive to the location transfer request attribute, via the computer-based data communications network, the system transmits EDI data payload representative of an exchange zone attribute for designating a physical zone for exchanging said article of manufacture. | 2021-12-02 |
20210374883 | ENERGY COST PREDICTION SYSTEM - An integrated system and method measures building characteristics and user behavior to provide real-time and forecasted utility usages and costs. The system gathers current and historical heating and cooling load data, compares the data with current and historical weather data and a building system set point, and calculates the heating or cooling load needed for the building based on the user's call for heat or cooling and the ambient environmental conditions. The system additionally analyzes individual device usage using usage signatures and user inputted tracking to create a comprehensive real-time and forecast of utility usages with the estimated costs. Through history of selections with usage changes corresponding to user input of individual devices, the system will be able to learn various devices' usage. The system then creates a comprehensive, real-time forecast of utility costs including the foregoing characteristics. | 2021-12-02 |
20210374884 | REAL MEAL WITH VIRTUAL NETWORKING - A system may include one or more processor and memory coupled with the one or more processors that effectuates operations. The operations may include generating an interface (e.g., graphical) for a second user for a second profile to order food associated with a first profile of a first user during a period, wherein the period is designated by the first user; receiving an indication of a first order of food associated the first profile during the period; sending instructions to prepare the first order of food; receiving an indication that the first order is paid by an account associated with the first profile; receiving an indication of an address to deliver the food and an indication not to expose the address to the first profile (e.g., keep private, such as do NOT display or send the address); and sending instructions to display the progress in delivering the food to the address. | 2021-12-02 |
20210374885 | RESTAURANT ON-DEMAND LOCATION AND ORDER MANAGEMENT SYSTEM - Methods, systems, and devices are described for dine-in location and on-demand order management through a customer mobile device. The customer may access a menu of available options, select one or more items, and place an order. Further, the customer may enter or otherwise provide a location identification when placing the order, which may allow a server or runner to deliver the order to the proper location (e.g., a table or other identified location within a dining area). Upon order placement, a confirmation may be provided that may include an estimated time for delivery of ordered items. Payment may be processed through the customer mobile device after delivery of the ordered items. | 2021-12-02 |
20210374886 | MACHINE-LEARNING PREDICTION OF OCCUPANCY STATUS OF REAL PROPERTY - Machine-learning prediction of occupancy status of real property. In an embodiment, ground-truth data, comprising property records, are received. The property records are normalized and augmented with property-specific data. Feature vectors, which are labeled with a known occupancy status, are generated from the normalized and augmented property records and used to train a machine-learning model to predict occupancy status based on a plurality of features. | 2021-12-02 |
20210374887 | REAL ESTATE TOOL - A computerized system for real estate listings, comprising: (1) a listing module, comprising a backend interface configured to receive information about a real estate listing, the listing module further configured to store the received information in a centralized real estate listing database, wherein the information about the real estate listing comprises a virtual open house presentation, the virtual open house presentation comprising pricing information about the property, pictures and/or videos of the property, a virtual tour of the property, and an interactive neighborhood map; (2) a virtual open house module configured to provide the virtual open house presentation to a potential purchaser of the real estate listing via an online interface, wherein the virtual open house presentation comprises a contact feature enabling the potential purchaser to contact a real estate agent by text, email, telephone, online chat, or to conduct a video call with the real estate agent; and (3) a communication module configured to: (i) receive a request from the potential purchaser to contact the real estate agent or to conduct the video call with the real estate agent; and (ii) communicate the request to the real estate agent. | 2021-12-02 |
20210374888 | SYSTEMS AND METHODS FOR TRAINING AND EVALUATION - Systems and related methods for a training protocol are described. The system and methods may include a graphical user interface where after selecting an evaluated trainee and an evaluated task, a score input region populates certain features associated with the evaluated trainee and the evaluated task, including a score region. Furthermore, the systems and methods may further include generating a training report which is configured to receive a plurality of training subjects. In some aspects, generating the training report further includes preventing certain portions of the training report from further edits after a pre-determined event occurs. | 2021-12-02 |
20210374889 | System and Method for Managing Educational Accommodations for Students - A system and a method for managing educational accommodations for students relate to a method for recording and reviewing the implementation of special accommodations for students by educational faculty. A tiered top-down view spanning from high-level district administrators to individual teachers is provided in real-time to ensure compliance at every level of accountability. This arrangement enables principals to monitor teachers, superintendents to monitor principals, and so on as necessary. Required teacher activities are monitored for each student dependent on the student's classification of special education services rendered via their individualized education plan (IEP). The educator inputs comments and verifies that the accommodations are being provided in that classroom for each student on a daily and weekly basis. The administrators are able to view the actions done by the educator within the application of the present invention to ensure compliance across all areas of the school district. | 2021-12-02 |
20210374890 | COMPUTERIZED SYSTEMS AND METHODS FOR FRAUD DETECTION AND USER ACCOUNT DEDUPLICATION - Systems and method are provided for fraud detection and user account deduplication. One method includes receiving a request from a user to register a third user account; receiving user information associated with the third user account, wherein the user information comprises a second attribute; at a third time entry, modifying the first data store by: searching the plurality of first entries in the first data store; comparing the second attribute to the first attribute of each first entry; determining that at least one first entry comprises a first attribute that is identical to the second attribute; adding second and third entries, wherein the second entry comprises the first and third user accounts, the second attribute, and the first and third time entries; and the third entry comprises the second and third user accounts, the second attribute, and the second and third time entries. | 2021-12-02 |
20210374891 | NETWORK TRACKING AND ENFORCEMENT OF SOCIAL DISTANCING PROTOCOLS - Novel techniques are described for protocol tracking and/or enforcement (PT&E) of social distancing protocols in communication networks. For example, PT&E data can be received and aggregated from a large number of user mobile devices via wireless communication networks. The PT&E data can be analyzed against a pre-defined social distancing protocol to detect candidate non-compliance events. The social distancing protocol is stored in association with predefined exclusions to application of the social distancing protocol. The candidate non-compliance events can be analyzed against the predefined exclusions to determine whether the detected events are excluded from consideration as a non-compliant condition. The detected candidate non-compliance events and/or non-compliant conditions can then support various features, such as warning individuals and/or organizations of compliance concerns, contact tracing responsive to non-compliant conditions, compliance scoring for entities, social grading for individual compliance, heat mapping of compliance-related data, etc. | 2021-12-02 |
20210374892 | SYSTEMS AND METHODS FOR DESCRIBING, SIMULATING AND OPTIMIZING SPACEBORNE SYSTEMS AND MISSIONS - Systems and methods for describing, simulating and/or optimizing spaceborne systems and missions. Configurations for spaceborne systems are generated and validated based on simulation output. | 2021-12-02 |
20210374893 | SYSTEMS AND METHODS FOR TRANSPORTATION COORDINATION IN HEALTHCARE AND OTHER SETTINGS - Embodiments relate to systems and methods for coordinating, arranging and/or managing transportation. These systems and methods can be used and applied in a variety of settings and industries, including healthcare, travel, hospitality, event, dining and entertainment, and others. | 2021-12-02 |
20210374894 | HARVESTER FOR SELECTIVELY AND ROBOTICALLY HARVESTING CROPS - A harvester that determines whether edible crowns are ready to be harvested and selectively harvests the edible crowns that are ready for harvesting. The harvester may include sensors, such as an imaging system, for detecting the edible crowns of individual broccoli plants. Image data from the imaging system may be provided as an input to a machine-learning model to determine a maturity (or immaturity) of the edible crowns. If the edible crowns are ready for harvesting, mechanical pickers harvest the edible crowns. For example, the harvester may include robotic arms having end effectors that cut the edible crowns from a remainder of the broccoli plant. The harvester may be configured to continuously harvest the edible crowns as the harvester moves about a field. In some instances, the harvester may include any number of robotic arms for harvesting the edible crowns across multiple rows of broccoli plants. | 2021-12-02 |
20210374895 | ORDERING OF SHADER CODE EXECUTION - Examples described herein relate to a graphics processing apparatus that includes a memory device and a graphics processing unit (GPU). In some examples, the GPU is configured to execute a shader program that is to identify at least two code blocks that are independent from each other and cause execution of an unexecuted independent code block with available data based on use of a scoreboard to track data availability for independent code blocks. In some examples, execution of the shader program is to cause the GPU to select a first code block identifier for tracking completion of a dependency of the first independent code block. In some examples, execution of the shader program is to cause the GPU to identify an offset to a first instruction position in a sequence of instructions of the first independent code block in an instruction queue. | 2021-12-02 |
20210374896 | POWER-BASED AND TARGET-BASED GRAPHICS QUALITY ADJUSTMENT - An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, a graphics subsystem communicatively coupled to the application processor, a power budget analyzer to identify a power budget for one or more of the application processor, the persistent storage media, and the graphics subsystem, a target analyzer communicatively coupled to the graphics subsystem to identify a target for the graphics subsystem, and a parameter adjuster to adjust one or more parameters of the graphics subsystem based on one or more of the identified power budget and the identified target. | 2021-12-02 |
20210374897 | SPARSE OPTIMIZATIONS FOR A MATRIX ACCELERATOR ARCHITECTURE - Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit. | 2021-12-02 |
20210374898 | REDUCED BANDWIDTH TESSELLATION FACTORS - A graphics pipeline reduces the number of tessellation factors written to and read from a graphics memory. A hull shader stage of the graphics pipeline detects whether at least a threshold percentage of the tessellation factors for a thread group of patches are the same and, in some embodiments, whether at least the threshold percentage of the tessellation factors for a thread group of patches have a same value that either indicates that the plurality of patches are to be culled or that the plurality of patches are to be passed to a tessellator stage of the graphics pipeline. In response to detecting that at least the threshold percentage of the tessellation factors for the thread group are the same (or, additionally, that at least the threshold percentage of the tessellation factors have a value that either indicates that the plurality of patches are to be culled or that the plurality of patches are to be passed to a tessellator stage of the graphics pipeline), the hull shader stage bypasses writing at least a subset of the tessellation factors for the thread group of patches to the graphics memory, thus reducing bandwidth and increasing efficiency of the graphics pipeline. | 2021-12-02 |
20210374899 | GRAYSCALE HISTOGRAM GENERATION - In a graphics processing unit (GPU), receiving an input image comprising an array of pixels. Each pixel having a grayscale value from a range of N grayscale values. For each particular input patch of pixels of a set of input patches partitioning the input image and in parallel for each particular grayscale value the range, counting the number of pixels in the particular input patch having the particular grayscale value. In parallel for each particular input patch of pixels of a set of input patches partitioning the input image, creating an output image patch as an ordered sequence of N pixels, with the color value of the nth pixel in each corresponding output patch representing the count of pixels in the particular input patch having the nth grayscale value. Combining the output image patches into a single composite output image of N pixels, the pixel value of the nth pixel in the single composite output image corresponding to the count of pixels in the input image having the nth grayscale value. | 2021-12-02 |
20210374900 | VARIABLE ENTRY TRANSITIONAL RING STORAGE FOR EFFICIENTLY ACCESSING GRAPHICS STATES - A method includes determining that a new draw call is received; comparing a state identity (ID) of a graphics state stored in the ring storage with a state ID of a graphics state associated with the new draw call; determining if the ring storage has available space to store the graphics state associated with the new draw call; storing the graphics state associated with the new draw call in the ring storage, based on determining that the ring storage has available space; determining a location of a first valid and non-default entry and a last valid and non-default entry of the graphics state associated with the new draw call stored in the ring storage; and collecting data from one or more valid entries of the graphics state associated with the new draw call stored in the ring storage to complete a task associated with the new draw call. | 2021-12-02 |
20210374901 | NODE TOPOLOGY EMPLOYING COMMAND AND DATA BUFFERS FOR EXECUTING THREAD SCHEDULING - The described embodiments include systems, methods, and apparatuses for increased efficiency processing flow. One method includes a plurality of stages configured to process an execution graph that includes a plurality of logical nodes with defined properties and resources associated with each logical node of the plurality of logical nodes, a recirculating ring buffer, wherein the recirculating ring buffer is configured to holding only any one of a control information, input, and, or out data necessary to stream a temporary data between each logical node of the execution graph, and a data producer, wherein the data producer is configured to stall from writing control information into a command buffer upon the command buffer being full, preventing command buffer over-writing. | 2021-12-02 |
20210374902 | Method and Apparatus for Generating Sample Image and Electronic Device - A method, apparatus, and an electronic device relate to the field of augmented reality and deep learning technologies. The method includes acquiring a first image that includes a first display plane of a target planar object, and mapping the first image, to acquire a second image including a second display plane, wherein the second image is a front view of the target planar object, and the second display plane is acquired through mapping the first display plane into the second image. The method also includes acquiring a first region in the second image, wherein the first region includes a region where the second display plane is located, and the first region is larger than the region where the second display plane is located. The method furthermore includes generating a sample image in accordance with an image of the first region. | 2021-12-02 |
20210374903 | METHOD AND SYSTEM FOR IMAGE REGISTRATION USING REGIONAL WARPING - An image registration method including regional warping includes the steps of: determining, by an image registration system, a warping region for performing regional warping on a registration image in which a plurality of images is registered; separating, by the image registration system, a warping region image in the determined warping region from the registration image, and warping the separated warping region image using a predetermined method; and combining, by the image registration system, the warped warping region image with the registration image. | 2021-12-02 |
20210374904 | DEPTH-GUIDED VIDEO INPAINTING FOR AUTONOMOUS DRIVING - Systems and methods of video inpainting for autonomous driving are disclosed. For example, the method stitches a multiplicity of depth frames into a 3D map, where one or more objects in the depth frames have previously been removed. The method further projects the 3D map onto a first image frame to generate a corresponding depth map, where the first image frame includes a target inpainting region. For each target pixel within the target inpainting region of the first image frame, based on the corresponding depth map, the method further maps the target pixel within the target inpainting region of the first image frame to a candidate pixel in a second image frame. The method further determines a candidate color to fill the target pixel. The method further performs Poisson image editing on the first image frame to achieve color consistency at a boundary and between inside and outside of the target inpainting region of the first image frame. For each pixel in the target inpainting region of the first image frame, the method further traces the pixel into neighboring frames and replacing an original color of the pixel with an average of colors sampled from the neighboring frames. | 2021-12-02 |
20210374905 | AUTOMATIC IMAGE INPAINTING - The technical problem of removing an object depicted in a selected region of an image to create a natural-looking edited image is addressed by providing systems, methods, and computer-readable storage media to perform automatic image inpainting. The method includes replacing the selected region using a color mask. A color mask can be generated using a mean color of pixels from a portion of the image that is distinct from and outside of the selected region. | 2021-12-02 |
20210374906 | INFORMATION PROCESSING APPARATUS, METHOD FOR PROCESSING INFORMATION, AND PROGRAM - A normal candidate information generation unit | 2021-12-02 |
20210374907 | MODULAR TRAINING OF IMAGE PROCESSING DEEP NEURAL NETWORK PIPELINE WITH ADAPTOR INTEGRATION - Methods and systems for training and utilizing an artificial neural network (ANN) are provided. In an example method, a computing device can receive an image pair, where a first image of the image pair includes a training image and a second image of the image pair includes a ground truth image. The computing device could utilize a trained de-noise ANN to determine a de-noised representation of the first image. The computing device could then indirectly training an adaptor ANN by at least applying the adaptor ANN on the de-noised representation to produce an adapted representation for the first image; determining, using a trained super resolution ANN, a high resolution image from the adapted representation, and computationally updating weights of the adaptor ANN based on a loss function that comprises a difference between the high resolution image and the second image. | 2021-12-02 |
20210374908 | METHOD AND ELECTRONIC DEVICE FOR PROCESSING IMAGES THAT CAN BE PLAYED ON A VIRTUAL DEVICE - A method for processing an image that can be played on a virtual device, including obtaining a super-resolution deep learning network model, which is trained to learn to reconstruct an image from low resolution to high resolution; wherein the super-resolution deep learning network model includes a plurality of feature filters to extract features of the image; modifying the resolution of the feature filters from a preset value to an established value, wherein the established value is higher than the preset value; inputting a low-resolution image into the super-resolution deep learning network model; and increasing the resolution of the low-resolution image to become a high-resolution image through the super-resolution deep learning network model. | 2021-12-02 |
20210374909 | Optical Image Stabilization Movement to Create a Super-Resolution Image of a Scene - The present disclosure describes systems and techniques directed to optical image stabilization movement to create a super-resolution image of a scene. The systems and techniques include a user device ( | 2021-12-02 |
20210374910 | Systems and Methods for Kalman Filter-Based Microvessel Inpainting for Super-Resolution Imaging - Described here are systems and methods for super-resolution imaging with ultrasound in which a Kalman filter-based microvessel inpainting technique is used to facilitate robust super-resolution imaging with limited or otherwise missing microbubble signals. The systems and methods described in the present disclosure can be combined with both local and global microbubble tracking methods. | 2021-12-02 |
20210374911 | LEARNING METHOD, LEARNING SYSTEM, LEARNED MODEL, PROGRAM, AND SUPER RESOLUTION IMAGE GENERATING DEVICE - Provided are a learning method and a learning system of a generative model, a program, a learned model, and a super resolution image generating device that can handle input data of any size and can suppress the amount of calculation at the time of image generation. A learning method according to an embodiment of the present disclosure is a learning method for performing machine learning of a generative model that estimates, from a first image, a second image including higher resolution image information than the first image, the method comprising using a generative adversarial network including a generator which is the generative model and a discriminator which is an identification model that identifies whether provided data is data of a correct image for learning or data derived from an output from the generator and implementing a self-attention mechanism only in a network of the discriminator among the generator and the discriminator. | 2021-12-02 |
20210374912 | ROTATION DISPLAY METHOD AND APPARATUS FOR SCREEN OF ON-BOARD UNIT - A rotation display method and apparatus for the screen of an on-board unit. The method comprises: obtaining first acceleration data of the screen of an on-board unit in the current cycle, and determining a screen display direction matching the first acceleration data as a first screen display direction according to a preset matching strategy ( | 2021-12-02 |
20210374913 | USING SUPER RESOLUTION TASK TO GUIDE JPEG ARTIFACT REDUCTION - A computing device can receive an image pair, where a first image of the image pair includes a training image and a second image of the image pair includes a ground truth image. The computing device can indirectly train a de-noise ANN by at least: applying the de-noise ANN on the first image to produce a de-noised version of the first image; determining, using a trained super resolution ANN, an extracted feature map for of the de-noised version of the first image; determining, using the trained super resolution ANN, an extracted feature map for the second image, and computationally updating weights of the de-noise ANN based on: (i) a difference between the second image and the de-noised version of the first image and (ii) a difference between the extracted feature map for of the de-noised version of the first image and the extracted feature map for the second image. | 2021-12-02 |
20210374914 | METHOD FOR GENERATING AN IMAGE THAT LIGHT NOISE IS REMOVED AND A DEVICE FOR GENERATING AN IMAGE USING THE METHOD THEREOF - Provided is an image generating device including a first lighting unit configured to emit light to an object, a second lighting unit configured to emit light to the object and located at a position different from a position of the first lighting unit, a light receiver configured to receive light reflected from the object when light is emitted to the object from the first lighting unit or the second lighting unit, and an image processor configured to obtain image data based on the light received by the light receiver and process the obtained image data, wherein the image processor obtains a first image based on light reflected from the object when light is emitted from the first lighting unit, obtains a second image based on light reflected from the object when light is emitted from the second lighting, generates a processed image by synthesizing the first image and the second image to correct a pixel value of a light noise region of the first image and/or the second image. | 2021-12-02 |
20210374915 | Neighbor Influence Compensation - The invention relates to a method of neighbor influence compensation between a plurality of objects in at least one digital image, wherein the at least one digital image contains image information about a plurality of objects. Each of the plurality of objects is configured to receive at least one molecule comprising genetic information, wherein the at least one molecule is configured to receive a fluorescent compound, and the at least one digital image is taken by an optical imaging system during emission of electromagnetic radiation of the fluorescent compounds received by the at least one molecules. | 2021-12-02 |
20210374916 | STORAGE MEDIUM STORING PROGRAM, IMAGE PROCESSING APPARATUS, AND TRAINING METHOD OF MACHINE LEARNING MODEL - A non-transitory computer-readable storage medium storing a set of program instructions for an image processing apparatus is disclosed. The set of program instructions, when executed by a controller of the image processing apparatus, causes the image processing apparatus to: acquire input image data indicating an input image; and input the input image data to a trained machine learning model configured to perform calculation processing on the input image data and to generate output image data corresponding to the input image data. The machine learning model is trained to generate the output image data indicating a first area and a second area. The first area is an area in the input image in which it is preferable to perform first image processing. The second area is an area in the input image in which it is preferable to perform second image processing different from the first image processing. | 2021-12-02 |
20210374917 | PASSIVE FLASH IMAGING - A passive flash system for illuminating images being captured on a user device while maintaining preview of the content being captured. The passive flash system can display a portion of a screen in as an elevated brightness element that is brighter than the content being captured. The elevated brightness element can surround or overlap the content being captured to passively increase the lighting of the imaged environment. | 2021-12-02 |
20210374918 | REPROJECTION AND WOBULATION AT HEAD-MOUNTED DISPLAY DEVICE - A head-mounted display device including one or more position sensors and a processor. The processor may receive a rendered image of a current frame. The processor may receive position data from the one or more position sensors and determine an updated device pose based on the position data. The processor may apply a first spatial correction to color information in pixels of the rendered image at least in part by reprojecting the rendered image based on the updated device pose. The head-mounted display device may further include a display configured to apply a second spatial correction to the color information in the pixels of the rendered image at least in part by applying wobulation to the reprojected rendered image to thereby generate a sequence of wobulated pixel subframes for the current frame. The display may display the current frame by displaying the sequence of wobulated pixel subframes. | 2021-12-02 |
20210374919 | SYSTEM AND METHOD FOR CORRECTING GEOMETRIC DISTORTION IN IMAGES - An image processing circuit for correcting a distorted image includes an internal memory and a correction circuit. The internal memory of the image processing circuit is configured to store a radial look-up table (LUT), a set of tangential LUTs, and co-ordinates of a correction center of the distorted image. The radial LUT and the set of tangential LUTs include first and second sets of parameters to correct radial and tangential distortion of the distorted image, respectively. The correction circuit is configured to reconstruct portions of the correction LUT on-the-fly based on the radial LUT, the set of tangential LUTs, and the co-ordinates of the correction center, and correct portions of the distorted image based on the reconstructed portions of correction LUT to generate the portions of the corrected image. | 2021-12-02 |
20210374920 | METHOD FOR TRANSLATING IMAGE, METHOD FOR TRAINING IMAGE TRANSLATION MODEL - A method for translating an image, a method for training an image translation model, and related electronic devices are proposed. In the method for translating an image, an image translation request carrying an original image is obtained. A down-sampled image is generated by down sampling the original image. A pre-translated image, a mask image, and deformation parameters are generated based on the down-sampled image. A size of the pre-translated image and a size of the mask image are the same as a size of the original image. A deformed image is obtained by deforming original image based on the deformation parameters. The deformed image, the pre-translated image and the mask image are fused to generate a target translation image. | 2021-12-02 |
20210374921 | Systems and Methods for Image Distortion Correction - Systems and methods for correcting image distortion in accordance with embodiments of the invention are illustrated. One embodiment includes a method for correcting distorted images. The method includes steps for receiving a set of term coefficients associated with a lens that captured a set of one or more distorted images, and mapping each of the set of distorted images to a new target image based on the set of term coefficients. | 2021-12-02 |
20210374922 | METHODS AND SYSTEMS FOR IMAGE COMBINATION - A method for image combination may include obtaining a first image and a second image; dividing the first image into a plurality of first image blocks and dividing the second image into a plurality of second image blocks; for each of the plurality of first image blocks, determining a first block weight based on edge information of the first image block and determining a second block weight based on overall information of the first image block; for each of the plurality of second image blocks, determining a third block weight based on overall information of the second image block; determining an exposure gain ratio based on the second block weights and the third block weights; determining a first combination weight and a second combination weight based on the exposure gain ratio; generating a third image based on the first combination weights and the second combination weights. | 2021-12-02 |
20210374923 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image that enables proper object recognition is generated. An image processing device includes an image processing unit that processes an image. The image processing unit included in this image processing device corrects the level of a pixel constituting the image. That is, the image processing unit corrects the level of a target pixel constituting the image on the basis of a low-frequency component in a peripheral image of a pixel constituting the target image. Here, the peripheral image is made up of a plurality of pixels that includes the target pixel and is located around the target pixel. | 2021-12-02 |
20210374924 | METHOD FOR TRANSLATING IMAGE AND METHOD FOR TRAINING IMAGE TRANSLATION MODEL - The present disclosure provides a computer-implemented method for translating an image and a computer-implemented method for training an image translation model. In the computer-implemented method for translating an image, an image translation request carrying an original image is obtained. The original image is processed to generate a pre-translated image, a mask image and a deformation parameter. The original image is deformed based on the deformation parameter to obtain a deformed image. The deformed image, the pre-translated image and the mask image are merged to generate a target translated image. | 2021-12-02 |
20210374925 | Image Enhancement System and Method - An image enhancement method and system is described. The method comprises receiving an input and target image pair, each of the input and target images including data representing pixel intensities; processing the data to determine a plurality of basis functions, each basis function being determined in dependence on content of the input image, determining a combination of the basis functions to modify the intensity of pixels of the input image to approximate the target image; and applying the plurality of basis functions to the input image to produce an approximation of the target image. | 2021-12-02 |
20210374926 | LABEL DATA PROCESSING SYSTEM - A product label printing and checking system, comprising data processing means configured to: control the printing of product labels; control the acquisition and reception of images of the printed labels by an image acquisition device such as an optical scanner; and check the printed labels for defects, wherein each printed label accords with a label format specification for that label, whereby the label has a common layout and comprises printed product-related information located in one or more regions on the label, wherein the data processing means includes a label checking module in which there is provided a reference image of the label, and the checking module is configured so that the acquired images are sequentially compared against the reference image according to pre-determined quality control indicators relating to the expected information content and location in the label regions, and wherein the label is flagged for review or rejection if it is non-compliant. The label format specification may be determined and/or stored before a print run, in the form of an accessible file. This may then be retrieved by the label printing and checking system before a print run using that label format. In an aspect of the invention the label format specification may be used to provide instructions to be sent to a printer for the printing of each label. The reference image and its associated inspection mask may thus be configured in real time by assembling specifications for label region location, region information and inspection tool, and optionally inspection tool parameters. | 2021-12-02 |
20210374927 | ARTIFICIAL INTELLIGENCE IDENTIFIED MEASURING METHOD FOR A SEMICONDUCTOR IMAGE - This inventions provides an artificial intelligence (A.I.) identified measuring method for a semiconductor image, comprising the steps of: providing an original image of a semiconductor; identifying a type and/or a category of the original image by an artificial intelligence; introducing a predetermined dimension measuring mode corresponding to the identified type and/or the identified category to scan the original image to generate a measurement signal of the original image; and extracting a designated object from the original image to generate a specific physical parameter of the original image after operation based on a measurement signal of the designated object and the measurement signal of the original image. | 2021-12-02 |
20210374928 | DEFECT DETECTION METHOD AND APPARATUS - A computer implemented method including acquiring a live image of a subject physical sample of a product or material; inputting the live image to a trained generator neural network to generate a defect-free reconstruction of the live image; comparing the defect-free reconstruction of the live image with the live image to determine a difference; and identifying a defect corresponding to the subject physical sample at a location of the determined difference. An unsupervised training of the generator neural network includes acquiring a set of images of the subject defect-free physical sample; executing a training phase including a plurality of training epochs, in which: training data images are synthesized by superimposing, onto each member of the set of images of subject defect-free physical sample as a respective parent image, defect image data; the synthesized training data images are reconstructed by the generator neural network which is iteratively trained to minimize a loss function between each reconstruction of the reconstructing of the synthesized training data images and the respective parent image of defect-free physical sample and increase an amount of difference between a training data image and the respective parent image caused by the superimposed defect image data from a minimum to a maximum as a function of a training condition. | 2021-12-02 |
20210374929 | METHOD FOR DETERMINING STRIATION PROPERTIES OF FATIGUE STRIATIONS AND FOR DETERMINING THE PRESENCE OF FATIGUE DAMAGE - To improve measurement or assessment of fatigue damage to parts, a computer-implemented method for measuring striation properties of fatigue striations on a sample surface of a part is disclosed. A sample surface is imaged using a scanning electron microscope to obtain a sample image potentially containing the fatigue striations. A sample image patch potentially containing fatigue striations is selected from the sample image. After normalizing the sample image patch and enhancing line-like regular structures contained in the sample image patch, the normalized image patch is autocorrelated, Radon transformed and spectrally analyzed. The resulting power spectrum of the transformed image patch contains information about striation properties of the fatigue striations contained in the sample image, if any fatigue striations are present. Furthermore, a system for performing the method is disclosed. | 2021-12-02 |
20210374930 | Anomaly Detection System - An image analysis system including an image gathering unit that gathers a high-altitude image having multiple channels, an image analysis unit that segments the high-altitude image into a plurality of equally size tiles and determines an index value based on at least one channel of the image where the image analysis unit identifies areas containing anomalies in each image. | 2021-12-02 |
20210374931 | HIERARCHICAL MULTICLASS EXPOSURE DEFECTS CLASSIFICATION IN IMAGES - Embodiments of the present invention provide systems, methods, and computer storage media for detecting and classifying an exposure defect in an image using neural networks trained via a limited amount of labeled training images. An image may be applied to a first neural network to determine whether the images includes an exposure defect. Detected defective image may be applied to a second neural network to determine an exposure defect classification for the image. The exposure defect classification can includes severe underexposure, medium underexposure, mild underexposure, mild overexposure, medium overexposure, severe overexposure, and/or the like. The image may be presented to a user along with the exposure defect classification. | 2021-12-02 |
20210374932 | METHOD FOR PHOTOGRAPHING AND READING AN IMAGE, AND APPARATUS THEREFOR - A method for photographing an image performed by a computer device according to an embodiment of the present application includes obtaining a screen division value for photographing an image, classifying a photographing screen into a plurality of sections based on the screen division value, photographing a first image by focusing a first section among the plurality of sections, photographing a second image by focusing a second section among the plurality of sections and transmitting the first image and the second image to a server. According to the method, it is capable of reading whether an image is actually photographed without having a separate ToF module, and applicable to an outdoor environment on which interference from other light rays is strong. | 2021-12-02 |
20210374933 | A SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DIFFERENTIATING IMAGES COMPRISING ORIGINAL SCANS OF DOCUMENTS, FROM IMAGES OF DOCUMENTS THAT ARE NOT ORIGINAL SCANS - A method for processing images generated by unsupervised end-users, the method comprising determining whether or not at least one digital image of a document was generated by scanning an original document, including using a processor for applying a resolution analysis test to a textured region of interest; and sending at least one output indication of the determining operation. | 2021-12-02 |
20210374934 | CAMERA ABNORMALITY DETECTING DEVICE AND PROGRAM - A camera abnormality detecting device according to an embodiment includes an acquiring section and a notifying section. The acquiring section acquires, from an image photographed by a camera provided in a conveyance body to be capable of photographing an inside of a basket placed on a basket receiving section of the conveyance body, an image of a region where an upper edge of the basket is surmised to be reflected. The notifying section notifies, based on the image acquired by the acquiring section, whether an angle of view of the camera is blocked. | 2021-12-02 |
20210374935 | EVALUATING AN INSPECTION ALGORITHM FOR INSPECTING A SEMICONDUCTOR SPECIMEN - A method, a non-transitory computer readable medium, and a system for evaluating an inspection algorithm for inspecting a semiconductor specimen. | 2021-12-02 |
20210374936 | DEEP LEARNING FOR SEMANTIC SEGMENTATION OF PATTERN - A method for training a deep learning model of a patterning process. The method includes obtaining (i) training data including an input image of at least a part of a substrate having a plurality of features and including a truth image, (ii) a set of classes, each class corresponding to a feature of the plurality of features of the substrate within the input image, and (iii) a deep learning model configured to receive the training data and the set of classes, generating a predicted image, by modeling and/or simulation with the deep learning model using the input image, assigning a class of the set of classes to a feature within the predicted image based on matching of the feature with a corresponding feature within the truth image, and generating, by modeling and/or simulation, a trained deep learning model by iteratively assigning weights using a loss function. | 2021-12-02 |
20210374937 | IMAGE MARKING METHOD AND COMPUTING DEVICE IMPLEMENTING IMAGE MARKING METHOD - An image marking method includes acquiring an image and at least one feature to be marked in the image, searching for at least one target area matching the at least one feature to be marked in the image, and marking the at least one target area with a preset graphic. The feature corresponds to the preset graphic. | 2021-12-02 |
20210374938 | OBJECT STATE SENSING AND CERTIFICATION - Techniques for determining a state of an object are discussed herein. In some implementations, a state sensing device may be capable of sensing and/or helping determine a state of an object. A state of an object may include various information about a physical object, such as a position and/or location of the object, a condition of the object, how the object relates to one or more other objects, etc. This disclosure may also be directed to providing a certification of the state of the object. For instance, the state sensing device may help provide a degree of confidence in the determined state of the object. | 2021-12-02 |
20210374939 | INSPECTION DEVICE, IMAGE FORMING SYSTEM, INSPECTION METHOD, AND INSPECTION PROGRAM - There is provided an inspection device that performs quality inspection of a printed matter, the inspection device including: a first hardware processor that obtains a document image; a first reader that reads the printed matter obtained by forming a printed image on one surface of a transparent material based on the document image from a side of the other surface opposite to the one surface; and a second hardware processor that detects an abnormality of the printed matter based on the document image and a read image by the first reader. | 2021-12-02 |
20210374940 | PRODUCT DEFECT DETECTION METHOD, DEVICE AND SYSTEM - A product defect detection method, device and system are disclosed. The method comprises: constructing a defect detection framework including segmentation networks, a concatenating network and a classification network, and setting a quantity of the segmentation network according to product defect types, wherein each segmentation network corresponds to a defect type; concatenating the sample image with the mask image output by each segmentation network by using the concatenating network to obtain a concatenated image; training the classification network by using the concatenated images to obtain a classification network capable of correctly identifying a product defect and a defect type; and when performing product defect detection, inputting a product image acquired into the defect detection framework, and detecting a product defect and a defect type existing in the product by using the segmentation networks, the concatenating network and the classification network. | 2021-12-02 |
20210374941 | PRODUCT DEFECT DETECTION METHOD, DEVICE AND SYSTEM - A product defect detection method, device and system are disclosed. The product defect detection method comprises: constructing a defect detection framework including a classification network, a locating detection network and a judgment network; training the classification network by using a sample image of a product containing different defect types to obtain a classification network capable of classifying the defect types existing in the sample image; training the locating detection network by using a sample image of a product containing different defect types to obtain a locating detection network capable of locating a position of each type of defect in the sample image; inputting an acquired product image into the defect detection framework, inputting a classification result and a detection result obtained into the judgment network to judge whether the product has a defect, and detecting a defect type and a defect position when the product has a defect. | 2021-12-02 |
20210374942 | BELT EXAMINATION SYSTEM AND COMPUTER-READABLE NON-TRANSITORY RECORDING MEDIUM HAVING STORED BELT EXAMINATION PROGRAM - A belt examination system includes a defect candidate detecting processor that detects a candidate for a belt defect of an intermediate transfer belt of an image forming apparatus from a belt image, the defect candidate detecting processor executes a background pattern reduction step to reduce a texture-pattern like background noise present in the belt image and detects the candidate based on the belt image generated during the background pattern reduction step, the background pattern reduction step is to execute a locally adaptive binarization process on the belt image in a range having a specific size based on a typical size of the belt defect to generate a binary image and subtract the binary image from the belt image, and the binary image includes a first value into which a lowest color value of the belt defect is converted and a second value larger than the first value. | 2021-12-02 |
20210374943 | METHODS AND SYSTEMS FOR DETERMIING PART WEAR USING A BOUNDING MODEL - A method for determining part wear, such as using a wear metric, includes receiving, from a sensor, sensor data representing a surface of a wear part. The method further includes determining distances between measured points in the sensor data and points on one or more part models, which part models may include new part models and/or worn or wear limit part models. The method further includes using a bounding model that at least partially envelopes the part model(s) and the measured points to determine a direction along which the distances are measured. The method may also include quantifying wear using the measured distances. | 2021-12-02 |
20210374944 | Method and Apparatus for Checking Integrity of Device Selection Process - Embodiments of present invention provide a method for checking integrity of a device selection process. The method includes placing multiple devices in a device tray that has multiple cells arranged in a matrix of M-rows and N-columns; separating the multiple devices into a first group and a second group; causing a machine to memorize locations of at least the first group; removing the second group from the device tray; after the removing, causing the machine to capture an image of devices remaining in the device tray and identify locations of the remaining devices based upon the image; comparing locations so identified with locations of the first group of devices memorized by the machine; and taking a corrective action when a discrepancy is found between the locations identified and locations memorized. An apparatus for performing the above method is also provided. | 2021-12-02 |
20210374945 | SYSTEM AND METHOD FOR EXAMINING OBJECTS FOR ERRORS | 2021-12-02 |
20210374946 | SYSTEM AND METHOD TO INTERPRET TESTS THAT CHANGE COLOR TO INDICATE THE PRESENCE OR NON-PRESENCE OF A COMPOUND - A specimen analysis system includes at least one processor to receive image information that represents a respective plurality of pixels of an image of each of a plurality of testing areas to indicate the presence or absence of a test subject compound; to determine for each testing area a number of pixels that indicates either the presence or the absence of the test subject compound, if the number of pixels indicating positive for each of a plurality of testing areas equals or exceeds a first minimum threshold value indicating that the testing area is positive for either the presence or absence of the test subject compound, totaling all testing areas indicating positive for either the presence or absence of the test subject compound, and if the total number of the testing areas indicating positive for either the presence or absence of the test subject compound equals or exceeds a second minimum threshold value indicating an overall positive test result for either the presence or absence of the test subject compound. | 2021-12-02 |
20210374947 | CONTEXTUAL IMAGE TRANSLATION USING NEURAL NETWORKS - Apparatuses, systems, and techniques to facilitate generation of one medical image from another medical image using one or more neural networks trained using a generative adversarial network (GAN) that utilizes a bidirectional encoder representations from transformers (BERT) as a discriminator. In at least one embodiment, one or more neural networks trained using a GAN comprising a BERT discriminator generate a positron emission tomography (PET) image from a magnetic resonance imaging (MRI) image. | 2021-12-02 |
20210374948 | METHOD FOR RECONSTRUCTING SERIES OF SLICE IMAGES AND APPARATUS USING SAME - The present invention relates to a method for reconstructing an image and an apparatus using the same Particularly, according to the method of the present invention, when a series of first slice images of a subject are inputted in a computing device, the computing device generates, from the first slice images, second slice images having a second slice thickness different from a first thickness, which is the slice thickness of the first slice image, and provides the generated second slice images. | 2021-12-02 |
20210374949 | METHOD FOR DETECTING IMAGE OF OBJECT USING CONVOLUTIONAL NEURAL NETWORK - The present application related to a method for detecting an object image using a convolutional neural network. Firstly, obtaining feature images by Convolution kernel, and then positioning an image of an object under detected by a default box and a boundary box from the feature image. By Comparing with the sample image, the detected object image is classifying to an esophageal cancer image or a non-esophageal cancer image. Thus, detecting an input image from the image capturing device by the convolutional neural network to judge if the input image is the esophageal cancer image for helping the doctor to interpret the detected object image. | 2021-12-02 |
20210374950 | SYSTEMS AND METHODS FOR VESSEL PLAQUE ANALYSIS - The disclosure relates to systems and methods for vessel image analysis. The method includes receiving a set of images along a vessel acquired by a medical imaging device, and determining a sequence of centerline points along the vessel and a sequence of image patches at the respective centerline points based on the set of images. The method further includes detecting plaques based on the sequence of image patches using a first learning network. The first learning network includes an encoder configured to extract feature maps based on the sequence of image patches and a plaque range generator configured to generate a start position and an end position of each plaque based on the extracted feature maps. The method also includes classifying each detected plaque and determining a stenosis degree for the detected plaque, using a second learning network reusing at least part of the parameters of the first learning network and the extracted feature maps. | 2021-12-02 |
20210374951 | RADIOMIC SIGNATURE OF A PERIVASCULAR REGION - A method for characterising a perivascular region using medical imaging data of a subject. The method comprises calculating the value of a radiomic signature of the perivascular region using the medical imaging data. Also disclosed is a method for deriving a radiomic signature for predicting cardiovascular risk. The method comprises obtaining a radiomic dataset and using the radiomic dataset to construct a perivascular radiomic signature. Also disclosed are systems for performing the aforementioned methods. | 2021-12-02 |
20210374953 | METHODS FOR AUTOMATED DETECTION OF CERVICAL PRE-CANCERS WITH A LOW-COST, POINT-OF-CARE, POCKET COLPOSCOPE - A method for automated detection of cervical pre-cancer includes: providing at least one cervigram; pre-processing the at least one cervigram; extracting features from the at least one pre-processed cervigram; and classifying the at least one cervigram as negative or positive for cervical pre-cancer based on the extracted features. | 2021-12-02 |
20210374954 | MACHINE LEARNING MODEL FOR ANALYZING PATHOLOGY DATA FROM METASTATIC SITES - Described herein are systems and methods of determining primary sites from biomedical images. A computing system may identify a first biomedical image of a first sample from one of a primary site or a secondary site associated with a condition in a first subject. The computing system may apply the first biomedical image to a site prediction model comprising a plurality of weights to determine the primary site for the condition. The computing system may store an association between the first biomedical image and the primary site determined using the site prediction model. | 2021-12-02 |
20210374955 | RETINAL COLOR FUNDUS IMAGE ANALYSIS FOR DETECTION OF AGE-RELATED MACULAR DEGENERATION - A facility diagnoses AMD in a subject patient. The facility obtains one or more patient images for a subject patient, which depict at least one of the subject patient's eyes. The facility applies an image-based classifier to at least one of the patient images to obtain a first AMD risk score. The facility identifies the macular region of an eye depicted in the patient images, and applies a deep learning-based classifier to the identified macular region to obtain a second AMD risk score. The facility identifies lesions present in an eye depicted in the patient images, and applies a deep learning-based classifier to the identified lesions to obtain a third AMD risk score. The facility combines the first AMD risk score, second AMD risk score, and third AMD risk score to obtain a unified AMD risk score. | 2021-12-02 |
20210374956 | Method for Extracting Significant Texture Features of B-ultrasonic Image and Application Thereof - A method for extracting significant texture features of a B-ultrasonic image and application thereof discloses a channel attention mechanism network, i.e. a context activation residual network, which is designed to effectively model the B-ultrasonic liver fibrosis texture information, and which uses the global context information to strengthen important texture features and suppress useless texture features, such that the deep residual network can capture more significant texture information in the B-ultrasonic images. The process can be mainly divided into two phases: training and testing. During the training phase, the context activation residual network may he trained by using the B-ultrasonic image blocks as input and the pathological results of liver biopsy as labels. During the testing phase, the B-ultrasonic image blocks may be input into the trained non-invasive liver fibrosis diagnosis model to obtain the liver fibrosis staging result for each ultrasonic image. | 2021-12-02 |
20210374957 | SYSTEMS AND METHODS FOR AUTOMATED ANALYSIS OF MEDICAL IMAGES - There is provided a computed implemented method of automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising: providing anatomical imaging data of the target individual acquired by an anatomical imaging device, analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof, computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object, and generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object. | 2021-12-02 |
20210374958 | NEURAL NETWORK CLASSIFICATION - Neural network classification may be performed by inputting a training data set into each of a plurality of first neural networks, the training data set including a plurality of samples, obtaining a plurality of output value sets from the plurality of first neural networks, each output value set including a plurality of output values corresponding to one of the plurality of samples, each output value being output from a corresponding first neural network in response to the inputting of one of the samples of the training data set, inputting the plurality of output value sets into a second neural network, and training the second neural network to output an expected result corresponding to each sample in response to the inputting of a corresponding output value set. | 2021-12-02 |
20210374959 | SOFTWARE AND ALGORITHMS FOR USE IN REMOTE ASSESSMENT OF DISEASE DIAGNOSTICS - A method to assess a subject diagnosis is provided. The method includes receiving an image from an image-capturing device, the image comprising an area of interest in a test cartridge, and finding a border of the area of interest of the test cartridge and applying a geometrical transformation on an area delimited by the border of the test cartridge to bring the image of the area of interest in the test cartridge to a selected size and a selected shape. The method also includes identifying a target region within the area of interest of the test cartridge, evaluating a quality of the image based on a characteristic feature of the target region, and providing commands to adjust an optical coupling in the image-capturing device when the quality of the image is lower than a selected threshold. | 2021-12-02 |
20210374960 | ASSESSMENT OF FUNDUS IMAGES - An example method for automating a quality assessment of digital fundus image can include: obtaining a digital fundus image file; analyzing a first quality of the digital fundus image file using a model to estimate an optimal time to capture a fundus image; and analyzing a second quality of the digital fundus image file using the model to estimate a disease state. | 2021-12-02 |
20210374961 | TRAINING A CNN WITH PSEUDO GROUND TRUTH FOR CT ARTIFACT REDUCTION - Training a CNN with pseudo ground truth for CT artifact reduction is described. An estimated ground truth apparatus is configured to generate an estimated ground truth image based, at least in part, on an initial CT image that includes an artifact. Feature addition circuitry is configured to add a respective feature to each of a number, N, copies of the estimated ground truth image to create the number, N, initial training images. A computed tomography (CT) simulation circuitry is configured to generate a plurality of simulated training CT images based, at least in part, on at least some of the N initial training images. An artifact reduction circuitry is configured to generate a plurality of input training CT images based, at least in part, on the simulated training CT images. A CNN training circuitry is configured to train the CNN based, at least in part, on the input training CT images and based, at least in part, on the initial training images. | 2021-12-02 |
20210374962 | METHODS AND SYSTEMS FOR PREDICTING RESPONSE TO PD-1 AXIS DIRECTED THERAPEUTICS - A scoring functions is developed and used for identifying patients who might be responsive to a PD-1 axis directed therapy. The scoring functions are obtained by extracting features from multiplex-stained sections, selecting features that correlate with response to the therapy using a feature selection function, and fitting one or more of the selected features to a plurality of candidate scoring functions. A candidate scoring function showing the desired balance between predictive sensitivity and specificity may then selected for incorporation into a scoring system that includes at least an image analysis system. | 2021-12-02 |
20210374963 | METHOD TO DETECT WHITE BLOOD CELLS AND/OR WHITE BLOOD CELL SUBTYPES FROM NON-INVASIVE CAPILLARY VIDEOS - In one aspect, a method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos is featured. The method includes acquiring a first plurality of images of a region of interest including one or more capillaries of a predetermined area of a human subject from non-invasive capillary videos captured with an optical device, processing the first plurality of images to determine one or more optical absorption gaps located in said capillary, and annotating the first plurality of images with an indication of any optical absorption gap detected in the first plurality of images. The method also includes acquiring a second plurality of images of the same region of interest of the same capillary with an advanced optical device capable of resolving cellular structure of white blood cells and white blood cell subtypes and spatiotemporally annotating the second plurality of images with an indication of any white blood cell detected and/or a subtype of any white blood cell detected in the second plurality of images. The method also includes inputting the first plurality of images and annotated information from the first plurality of images and annotated information from the spatiotemporally annotated second plurality of images into a machine learning subsystem configured to determine a presence of white blood cells and/or the subtype of any white blood cells present in the one or more optical absorption gaps in the first plurality of images. | 2021-12-02 |
20210374964 | IMAGE DETECTION DEVICE AND IMAGE DETECTION METHOD - An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image. | 2021-12-02 |
20210374965 | METHOD FOR PROPERTY FEATURE SEGMENTATION - The method for determining property feature segmentation includes: receiving a region image for a region; determining parcel data for the region; determining a final segmentation output based on the region image and parcel data using a trained segmentation module; optionally generating training data; and training a segmentation module using the training data S | 2021-12-02 |
20210374966 | METHOD AND DEVICE FOR CORRECTING BRAIN IMAGE BY USING BRAIN STRUCTURE - Provided is a method, performed by a computer, for correcting a brain image by using a brain structure. The method comprises: a step for obtaining a head image including the brain of a subject; a step for dividing the head image into a plurality of regions on the basis of the brain structure; and a step for performing a correction on the plurality of regions by using a layer arrangement condition of the brain. | 2021-12-02 |
20210374967 | PRECIPITATION REMOVAL FROM VIDEO - Methods, systems, and apparatus for removing precipitation from video are disclosed. A method includes generating, from a first set of images of a scene from a camera, a segmented background image model of the scene; obtaining a second set of images from the camera; identifying, in an image of the second set of images, a plurality of edges, determining that a first edge of the plurality of edges satisfies criteria for representing precipitation based at least in part on determining that the first edge (i) does not correspond to the background image model of the scene and (ii) extends into two or more contiguous segments of the scene; in response, classifying each of the contiguous segments as a precipitation segment; generating pixel data for each of the precipitation segments; and applying the pixel data to each precipitation segment in the image. | 2021-12-02 |
20210374968 | UNCERTAINTY-REFINED IMAGE SEGMENTATION UNDER DOMAIN SHIFT - A method for digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. The label of any image element with an uncertainty value above a predefined threshold is replaced with a new label corresponding to the class with the next highest value. | 2021-12-02 |
20210374969 | SYSTEMS AND METHODS FOR ANATOMIC STRUCTURE SEGMENTATION IN IMAGE ANALYSIS - Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary. | 2021-12-02 |