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    METHOD AND SYSTEM FOR PARALLEL PROCESSING FOR MEDICAL IMAGE
    1.
    发明申请
    METHOD AND SYSTEM FOR PARALLEL PROCESSING FOR MEDICAL IMAGE 有权

    公开(公告)号：US20230052847A1

    公开(公告)日：2023-02-16

    申请号：US17885611

    申请日：2022-08-11

    Applicant: LUNIT INC.

    Inventor： Donggeun YOO

    IPC: G06T7/00 ,  G16H30/40 ,  G16H70/60 ,  G06V10/22 ,  G06V10/774

    Abstract: A method for parallel processing a digitally scanned pathology image is performed by a plurality of processors and includes performing, by a first processor, a first operation of generating a first batch from a first set of patches extracted from a digitally scanned pathology image and providing the generated first batch to a second processor, performing, by the first processor, a second operation of generating a second batch from a second set of patches extracted from the digitally scanned pathology image and providing the generated second batch to the second processor, and performing, by the second processor, a third operation of outputting a first analysis result from the first batch by using a machine learning model, with at least part of time frame for the second operation performed by the first processor overlapping at least part of time frame for the third operation performed by the second processor.

    METHOD AND SYSTEM FOR PREDICTING RESPONSE TO IMMUNE CHECKPOINT INHIBITOR
    3.
    发明公开
    METHOD AND SYSTEM FOR PREDICTING RESPONSE TO IMMUNE CHECKPOINT INHIBITOR 审中-公开

    公开(公告)号：US20230420072A1

    公开(公告)日：2023-12-28

    申请号：US18463962

    申请日：2023-09-08

    Applicant: LUNIT INC.

    Inventor： Donggeun YOO ,  Chanyoung OCK ,  Kyunghyun PAENG

    IPC: G16B20/00 ,  G06N3/02

    CPC classification number: G16B20/00 ,  G06N3/02

    Abstract: The present disclosure relates to a method, performed by at least one computing device, for predicting a response to an immune checkpoint inhibitor. The method includes receiving a first pathology slide image, detecting one or more target items in the first pathology slide image, determining at least one of an immune phenotype of at least some regions in the first pathology slide image or information associated with the immune phenotype based on the detection result for the one or more target items, and generating a prediction result as to whether or not a patient associated with the first pathology slide image responds to the immune checkpoint inhibitor, based on the immune phenotype of the at least some regions in the first pathology slide image or the information associated with the immune phenotype.

    METHOD AND SYSTEM FOR ANALYZING PATHOLOGICAL IMAGE
    6.
    发明申请
    METHOD AND SYSTEM FOR ANALYZING PATHOLOGICAL IMAGE 有权

    公开(公告)号：US20250117940A1

    公开(公告)日：2025-04-10

    申请号：US18989234

    申请日：2024-12-20

    Applicant: Lunit Inc.

    Inventor： Chan-Young OCK ,  Donggeun YOO ,  Kyunghyun PAENG

    IPC: G06T7/00 ,  G06V10/94 ,  G06V20/69 ,  G16H30/20

    Abstract: The present disclosure relates to a method, performed by at least one processor of an information processing system, of analyzing a pathological image. The method includes receiving a pathological image, detecting an object associated with medical information, in the received pathological image by using a machine learning model, generating an analysis result on the received pathological image, based on a result of the detecting, and outputting medical information about at least one region included in the pathological image, based on the analysis result.

    METHOD AND SYSTEM FOR PROVIDING ANNOTATION INFORMATION FOR TARGET DATA THROUGH HINT-BASED MACHINE LEARNING MODEL
    8.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING ANNOTATION INFORMATION FOR TARGET DATA THROUGH HINT-BASED MACHINE LEARNING MODEL 有权

    公开(公告)号：US20220092448A1

    公开(公告)日：2022-03-24

    申请号：US17383937

    申请日：2021-07-23

    Applicant: LUNIT INC.

    Inventor： In Wan YOO ,  Donggeun YOO

    IPC: G06N5/04 ,  G06N20/00

    Abstract: Provided is a method for training a hint-based machine learning model configured to infer annotation information for target data, including obtaining training data for the machine learning model, wherein the training data includes a plurality of target data items provided with a plurality of annotation information items, and extracting a plurality of pixel groups from the plurality of target data items. The extracted plurality of pixel groups may be included in hint information. In addition, the method includes obtaining, from the plurality of annotation information items, a plurality of annotation classes corresponding to the extracted plurality of pixel groups to include the obtained plurality of annotation classes in the hint information, and training, by using the hint information, the machine learning model to infer the plurality of annotation information items associated with the plurality of target data items.

    METHOD AND SYSTEM FOR PREDICTING RESPONSE TO IMMUNE ANTICANCER DRUGS
    9.
    发明申请
    METHOD AND SYSTEM FOR PREDICTING RESPONSE TO IMMUNE ANTICANCER DRUGS 有权

    公开(公告)号：US20220036971A1

    公开(公告)日：2022-02-03

    申请号：US17502339

    申请日：2021-10-15

    Applicant: LUNIT INC.

    Inventor： Donggeun YOO ,  Chanyoung OCK ,  Kyunghyun PAENG

    IPC: G16B20/00 ,  G06N3/02

    Abstract: The present disclosure relates to a method, performed by at least one computing device, for predicting a response to an immune checkpoint inhibitor. The method includes receiving a first pathology slide image, detecting one or more target items in the first pathology slide image, determining at least one of an immune phenotype of at least some regions in the first pathology slide image or information associated with the immune phenotype based on the detection result for the one or more target items, and generating a prediction result as to whether or not a patient associated with the first pathology slide image responds to the immune checkpoint inhibitor, based on the immune phenotype of the at least some regions in the first pathology slide image or the information associated with the immune phenotype.

    APPARATUS FOR PREDICTING METADATA OF MEDICAL IMAGE AND METHOD THEREOF
    10.
    发明申请
    APPARATUS FOR PREDICTING METADATA OF MEDICAL IMAGE AND METHOD THEREOF 审中-公开

    公开(公告)号：US20200372299A1

    公开(公告)日：2020-11-26

    申请号：US16708205

    申请日：2019-12-09

    Applicant: Lunit Inc.

    Inventor： Jongchan PARK ,  Donggeun YOO

    IPC: G06K9/62 ,  G06T7/00 ,  G06T7/70

    Abstract: This disclosure relates to a computerized method to perform a machine learning on a relationship between medical images and metadata using a neural network and acquiring metadata by applying a machine learning model to medical images, and a method thereof. The apparatus and method may include training a prediction model for predicting metadata of medical images based on multiple medical images for learning and metadata matched with each of multiple medical images and predicting metadata of input medical image.

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