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    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR SYNTHETIC IMAGE GENERATION
    74.
    发明公开
    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR SYNTHETIC IMAGE GENERATION 审中-公开

    公开(公告)号：US20230215546A1

    公开(公告)日：2023-07-06

    申请号：US18181630

    申请日：2023-03-10

    申请人： PAIGE.AI, Inc.

    发明人： Rodrigo CEBALLOS LENTINI ,  Christopher KANAN

    IPC分类号： G16H30/20 ,  G06T7/00 ,  G16H30/40 ,  G16H50/50 ,  G06N20/00

    CPC分类号： G16H30/20 ,  G06T7/0012 ,  G16H30/40 ,  G16H50/50 ,  G06N20/00 ,  G06T7/11

    摘要： Systems and methods are disclosed for generating synthetic medical images, including images presenting rare conditions or morphologies for which sufficient data may be unavailable. In one aspect, style transfer methods may be used. For example, a target medical image, a segmentation mask identifying style(s) to be transferred to area(s) of the target, and source medical image(s) including the style(s) may be received. Using the mask, the target may be divided into tile(s) corresponding to the area(s) and input to a trained machine learning system. For each tile, gradients associated with a content and style of the tile may be output by the system. Pixel(s) of at least one tile of the target may be altered based on the gradients to maintain content of the target while transferring the style(s) of the source(s) to the target. The synthetic medical image may be generated from the target based on the altering.

    SYSTEMS AND METHODS FOR PROCESSING DIGITAL IMAGES TO ADAPT TO COLOR VISION DEFICIENCY
    75.
    发明公开
    SYSTEMS AND METHODS FOR PROCESSING DIGITAL IMAGES TO ADAPT TO COLOR VISION DEFICIENCY 审中-公开

    公开(公告)号：US20230196622A1

    公开(公告)日：2023-06-22

    申请号：US18060358

    申请日：2022-11-30

    申请人： PAIGE.AI, INC.

    发明人： Kristin RUBEN ,  Kyle ONDY ,  Christopher KANAN

    IPC分类号： G06T7/90 ,  G06T7/00

    CPC分类号： G06T7/90 ,  G06T7/0012 ,  G06T2207/20081 ,  G06T2207/10056

    摘要： A computer-implemented method for processing medical images, the method including receiving one or more of medical images of at least one pathology specimen, the pathology specimen being associated with a patient, wherein the medical image is a stained histology image. The method may further include receiving a stain type associated with the one or more medical images and identifying a color vision deficiency for one or more users. Next the method may include identifying a pixel transformation for the one or more medical images based on the stain type and color vision deficiency of the one or more users. Next the method may include applying a pixel transformation to each pixel within the one or more medical images. Lastly the method may include displaying the transformed one or more medical images to the one or more users.

    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES TO SELECTIVELY HIDE STRUCTURES AND ARTIFACTS FOR DIGITAL PATHOLOGY IMAGE REVIEW
    77.
    发明申请
    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES TO SELECTIVELY HIDE STRUCTURES AND ARTIFACTS FOR DIGITAL PATHOLOGY IMAGE REVIEW 有权

    公开(公告)号：US20230098732A1

    公开(公告)日：2023-03-30

    申请号：US17934908

    申请日：2022-09-23

    申请人： PAIGE.AI, Inc.

    发明人： Navid ALEMI ,  Christopher KANAN

    IPC分类号： G06T7/11 ,  G06T5/00 ,  G06T7/00

    摘要： A computer-implemented method for processing digital pathology images, the method including receiving a plurality of digital pathology images of at least one pathology specimen, the pathology specimen being associated with a patient. The method may further include determining, using a machine learning system, whether artifacts or objects of interest are present on the digital pathology images. Once the machine learning system has determined that an artifact or object of interest is present, the system may determine one or more regions on the digital pathology images that contain artifacts or objects of interest. Once the system determines the regions on the digital pathology images that contain artifacts or objects of interest, the system may use a machine learning system to inpaint or suppress the region and output the digital pathology images with the artifacts or objects of interest inpainted or suppressed.

    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR SYNTHETIC IMAGE GENERATION
    78.
    发明申请
    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR SYNTHETIC IMAGE GENERATION 有权

    公开(公告)号：US20230012002A1

    公开(公告)日：2023-01-12

    申请号：US17806519

    申请日：2022-06-13

    申请人： PAIGE.AI, Inc.

    发明人： Rodrigo CEBALLOS LENTINI ,  Christopher KANAN

    IPC分类号： G16H30/20 ,  G16H50/50 ,  G16H30/40 ,  G06N20/00 ,  G06T7/00

    摘要： Systems and methods are disclosed for generating synthetic medical images, including images presenting rare conditions or morphologies for which sufficient data may be unavailable. In one aspect, style transfer methods may be used. For example, a target medical image, a segmentation mask identifying style(s) to be transferred to area(s) of the target, and source medical image(s) including the style(s) may be received. Using the mask, the target may be divided into tile(s) corresponding to the area(s) and input to a trained machine learning system. For each tile, gradients associated with a content and style of the tile may be output by the system. Pixel(s) of at least one tile of the target may be altered based on the gradients to maintain content of the target while transferring the style(s) of the source(s) to the target. The synthetic medical image may be generated from the target based on the altering.

    SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES BASED ON DIGITAL BIOMARKERS AND GENOMIC PANELS
    79.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES BASED ON DIGITAL BIOMARKERS AND GENOMIC PANELS 有权

    公开(公告)号：US20230005597A1

    公开(公告)日：2023-01-05

    申请号：US17931485

    申请日：2022-09-12

    申请人： PAIGE.AI, Inc.

    发明人： Jillian SUE ,  Jason LOCKE ,  Peter SCHUEFFLER ,  Christopher KANAN ,  Thomas FUCHS ,  Leo GRADY

    IPC分类号： G16H30/20 ,  G06N20/00

    摘要： Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information, determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements, and determining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system.

    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES TO CATEGORIZE INTRA-SLIDE SPECIMEN TISSUE TYPE
    80.
    发明申请
    SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES TO CATEGORIZE INTRA-SLIDE SPECIMEN TISSUE TYPE 有权

    公开(公告)号：US20220375573A1

    公开(公告)日：2022-11-24

    申请号：US17646500

    申请日：2021-12-30

    申请人： PAIGE.AI, Inc.

    发明人： Ran GODRICH ,  Christopher KANAN

    IPC分类号： G16H30/20 ,  G06N20/00

    摘要： Systems and methods are disclosed for identifying tissue specimen types present in digital whole slide images. In some aspects, tissue specimen types may be identified using unsupervised machine learning techniques for out-of-distribution detection. For example, a digital whole slide image of a tissue specimen and a recorded tissue specimen type for the digital whole slide image may be received. One or more feature vectors may be extracted from one or more foreground tiles of the digital whole slide image identified as including the tissue specimen, and a distribution learned by a machine learning system for the recorded tissue specimen type may be received. Using the distribution, a probability of the feature vectors corresponding to the recorded tissue specimen type may be computed and used as a basis for classifying the foreground tiles from which the feature vectors are extracted as an in-distribution foreground tile or an out-of-distribution foreground tile.