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    Systems and methods for processing images of slides for digital pathology
    1.
    发明授权
    Systems and methods for processing images of slides for digital pathology 有权

    公开(公告)号：US11551357B2

    公开(公告)日：2023-01-10

    申请号：US17014532

    申请日：2020-09-08

    Applicant: PAIGE.AI, Inc.

    Inventor： Jason Locke ,  Jillian Sue ,  Peter Schueffler ,  Jose Sebastian Izurieta-Herrera

    IPC: G06T7/00 ,  G06N20/00 ,  G06T3/40 ,  G06T11/00 ,  G06V10/25

    Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target electronic image, the machine learning system having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the target electronic image identifying an area of interest based on the at least one characteristic of the target specimen and/or the at least one characteristic of the target electronic image.

    Systems and methods for analyzing electronic images for quality control
    2.
    发明授权
    Systems and methods for analyzing electronic images for quality control 有权

    公开(公告)号：US11222424B2

    公开(公告)日：2022-01-11

    申请号：US17126596

    申请日：2020-12-18

    Applicant: PAIGE.AI, Inc.

    Inventor： Jillian Sue ,  Razik Yousfi ,  Peter Schueffler ,  Thomas Fuchs ,  Leo Grady

    IPC: G06K9/00 ,  G06T7/00 ,  G16H70/60 ,  G16H50/20 ,  G16H30/40

    Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output.

    Systems and methods for processing electronic images
    3.
    发明授权
    Systems and methods for processing electronic images 有权

    公开(公告)号：US11210787B1

    公开(公告)日：2021-12-28

    申请号：US17377260

    申请日：2021-07-15

    Applicant: PAIGE.AI, Inc.

    Inventor： Ran Godrich ,  Jillian Sue ,  Leo Grady ,  Thomas Fuchs

    IPC: G06T7/00 ,  G06N20/00 ,  G16H50/20

    Abstract: An image processing method including receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient; generating a machine learning system by processing a plurality of training images, each training image comprising an image of human tissue and a label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty; automatically identifying, using the machine learning system, an area of interest of the target image by analyzing microscopic features extracted from multiple image regions in the target image; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; and determining, using the machine learning system, a prioritization value, of a plurality of prioritization values.

    Systems and methods for processing images to determine image-based computational biomarkers from liquid specimens
    4.
    发明授权
    Systems and methods for processing images to determine image-based computational biomarkers from liquid specimens 有权

    公开(公告)号：US12236694B2

    公开(公告)日：2025-02-25

    申请号：US18346391

    申请日：2023-07-03

    Applicant: PAIGE.AI, Inc.

    Inventor： Brandon Rothrock ,  Jillian Sue ,  Matthew Houliston ,  Patricia Raciti ,  Leo Grady

    IPC: G06V20/69 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/194 ,  G16H30/40

    Abstract: A method of using machine learning to output task-specific predictions may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.

    Systems and methods for processing electronic images for health monitoring and forecasting
    6.
    发明授权
    Systems and methods for processing electronic images for health monitoring and forecasting 有权

    公开(公告)号：US11227684B2

    公开(公告)日：2022-01-18

    申请号：US17119885

    申请日：2020-12-11

    Applicant: PAIGE.AI, Inc.

    Inventor： Christopher Kanan ,  Rodrigo Ceballos Lentini ,  Jillian Sue ,  Thomas Fuchs ,  Leo Grady

    IPC: G16H30/40 ,  G16H50/20 ,  G06T7/00

    Abstract: Systems and methods are disclosed for determining at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable, estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions, determining a trend in a relationship between the data variable and the geographic region at a current time, determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time, determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time, and, upon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert.

    Systems and methods to process electronic images to determine salient information in digital pathology
    8.
    发明授权
    Systems and methods to process electronic images to determine salient information in digital pathology 有权

    公开(公告)号：US11574140B2

    公开(公告)日：2023-02-07

    申请号：US17313617

    申请日：2021-05-06

    Applicant: PAIGE.AI, Inc.

    Inventor： Jillian Sue ,  Thomas Fuchs ,  Christopher Kanan

    IPC: G16H30/20 ,  G16H50/20 ,  G06K9/62 ,  G06T7/00

    Abstract: Systems and methods are disclosed for identifying a diagnostic feature of a digitized pathology image, including receiving one or more digitized images of a pathology specimen, and medical metadata comprising at least one of image metadata, specimen metadata, clinical information, and/or patient information, applying a machine learning model to predict a plurality of relevant diagnostic features based on medical metadata, the machine learning model having been developed using an archive of processed images and prospective patient data, and determining at least one relevant diagnostic feature of the relevant diagnostic features for output to a display.

    Systems and methods for processing electronic images
    9.
    发明授权
    Systems and methods for processing electronic images 有权

    公开(公告)号：US11456077B2

    公开(公告)日：2022-09-27

    申请号：US17530028

    申请日：2021-11-18

    Applicant: PAIGE.AI, Inc.

    Inventor： Ran Godrich ,  Jillian Sue ,  Leo Grady ,  Thomas Fuchs

    IPC: G06T7/00 ,  G06N20/00 ,  G16H50/20 ,  G16H70/60 ,  G16H40/20 ,  G16H10/40 ,  G16H30/40 ,  G16H70/20 ,  G16B40/20 ,  G06K9/62

    Abstract: An image processing method including identifying, using a machine learning system, an area of interest of a target image by analyzing microscopic features extracted from multiple image regions in the target image, the machine learning system being generated by processing a plurality of training images each comprising an image of human tissue and a diagnostic label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; and determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image.

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