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    Method for discriminating suspicious lesion in medical image, method for interpreting medical image, and computing device implementing the methods
    81.
    发明授权
    Method for discriminating suspicious lesion in medical image, method for interpreting medical image, and computing device implementing the methods 有权

    公开(公告)号：US12217425B2

    公开(公告)日：2025-02-04

    申请号：US18584049

    申请日：2024-02-22

    Applicant: Lunit Inc.

    Inventor： Hyo-Eun Kim ,  Hyeonseob Nam

    IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764

    Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

    Method and system for analyzing pathological image
    82.
    发明授权
    Method and system for analyzing pathological image 有权

    公开(公告)号：US12205288B2

    公开(公告)日：2025-01-21

    申请号：US18193275

    申请日：2023-03-30

    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 PARALLEL PROCESSING FOR MEDICAL IMAGE
    86.
    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 FOR TRAINING NEURAL NETWORK AND DEVICE THEREOF
    90.
    发明公开
    METHOD FOR TRAINING NEURAL NETWORK AND DEVICE THEREOF 审中-公开

    公开(公告)号：US20240062526A1

    公开(公告)日：2024-02-22

    申请号：US18384421

    申请日：2023-10-27

    Applicant: Lunit Inc.

    Inventor： Weonsuk LEE ,  Hyeonsoo Lee ,  Gunhee Nam ,  Taesoo Kim

    IPC: G06V10/774 ,  G06V10/77 ,  G06V10/82

    CPC classification number: G06V10/774 ,  G06V10/7715 ,  G06V10/82 ,  G06V2201/03

    Abstract: Provided is a method for training a neural network and a device thereof. The method for training a neural network with three-dimensional (3D) training image data comprising a plurality of two-dimensional (2D) training image data, comprises: training a first convolutional neural network (CNN) with the plurality of 2D training image data, wherein the first convolutional neural network comprises 2D convolutional layers; and training a second convolutional neural network with the 3D training image data, wherein the second convolutional neural network comprises the 2D convolutional layers and 3D convolutional layers configured to receive an output of the 2D convolutional layers as an input.

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