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    METHOD AND SYSTEM FOR PARALLEL PROCESSING FOR MEDICAL IMAGE
    11.
    发明申请
    METHOD AND SYSTEM FOR PARALLEL PROCESSING FOR MEDICAL IMAGE 有权

    公开(公告)号：US20250166192A1

    公开(公告)日：2025-05-22

    申请号：US19034933

    申请日：2025-01-23

    Applicant: LUNIT INC.

    Inventor： Donggeun YOO

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

    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 PARALLEL PROCESSING FOR MEDICAL IMAGE
    13.
    发明公开
    METHOD AND SYSTEM FOR PARALLEL PROCESSING FOR MEDICAL IMAGE 审中-公开

    公开(公告)号：US20240104736A1

    公开(公告)日：2024-03-28

    申请号：US18528923

    申请日：2023-12-05

    Applicant: LUNIT INC.

    Inventor： Donggeun YOO

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

    CPC classification number: G06T7/0012 ,  G06V10/22 ,  G06V10/774 ,  G16H30/40 ,  G16H70/60 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06V2201/03

    Abstract: There is provided a method for parallel processing a digitally scanned pathology image, in which the method is performed by a plurality of processors and includes performing, by a first processor, a first operation of providing a second processor with a first patch included in the digitally scanned pathology image, performing, by the first processor, a second operation of providing the second processor with a second patch included in the digitally scanned pathology image, and performing, by the second processor, a third operation of outputting a first analysis result from the first patch using a machine learning model, in which at least a part of a time frame for the second operation performed by the first processor may overlap with at least a part of a time frame for the third operation performed by the second processor.

    METHOD AND APPARATUS FOR SELECTING MEDICAL DATA FOR ANNOTATION
    14.
    发明公开
    METHOD AND APPARATUS FOR SELECTING MEDICAL DATA FOR ANNOTATION 审中-公开

    公开(公告)号：US20230253098A1

    公开(公告)日：2023-08-10

    申请号：US18105312

    申请日：2023-02-03

    Applicant: Lunit Inc.

    Inventor： Donggeun YOO

    IPC: G16H30/40 ,  G16H50/70

    CPC classification number: G16H30/40 ,  G16H50/70

    Abstract: An operating method of a medical data selecting apparatus operated by at least one processor includes generating training data including partial medical data sampled from mass medical data and annotated data of the partial medical data, extracting candidate data for annotation from the mass medical data, the candidate data being at least a portion of the mass medical data, acquiring inference results that are inferred from the candidate data by an artificial intelligence (AI) model trained based on the training data and selecting target data for annotation to be used in next training of the AI model, from among the candidate data based on the inference results.

    METHOD AND SYSTEM FOR TRAINING MACHINE LEARNING MODEL FOR DETECTING ABNORMAL REGION IN PATHOLOGICAL SLIDE IMAGE
    20.
    发明申请
    METHOD AND SYSTEM FOR TRAINING MACHINE LEARNING MODEL FOR DETECTING ABNORMAL REGION IN PATHOLOGICAL SLIDE IMAGE 有权

    公开(公告)号：US20220262513A1

    公开(公告)日：2022-08-18

    申请号：US17550034

    申请日：2021-12-14

    Applicant: LUNIT INC.

    Inventor： Donggeun YOO ,  Jaehong AUM ,  Minuk MA ,  Jeong Un RYU

    IPC: G16H50/20 ,  G06N20/00 ,  G16H30/20

    Abstract: A method, performed by at least one processor, for training a machine learning model for detecting an abnormal region in a pathological slide image is disclosed. The method including receiving one or more first pathological slide images, determining, from the received one or more first pathological slide images, a normal region based on an abnormality condition indicative of a condition of an abnormal region, generating a first set of training data including the determined normal region, generating the abnormal region by performing image processing corresponding to the abnormality condition with respect to at least partial region in the received one or more first pathological slide images, and generating a second set of training data including the generated abnormal region.

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