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    Method for managing annotation job, apparatus and system supporting the same
    1.
    发明授权
    Method for managing annotation job, apparatus and system supporting the same 有权

    公开(公告)号：US11335455B2

    公开(公告)日：2022-05-17

    申请号：US16671430

    申请日：2019-11-01

    Applicant: Lunit Inc.

    Inventor： Kyoung Won Lee ,  Kyung Hyun Paeng

    IPC: G16H30/40 ,  G06N3/08 ,  G16H30/20 ,  G06F40/169 ,  G16H10/40 ,  G06T7/00 ,  G06K9/62 ,  G16H40/20 ,  G06Q10/06

    Abstract: A computing device obtains information about a medical slide image, and determines a dataset type of the medical slide image and a panel of the medical slide image. The computing device assigns to an annotator account, an annotation job defined by at least the medical slide image, the determined dataset type, an annotation task, and a patch that is a partial area of the medical slide image. The annotation task includes the determined panel, and the panel is designated as one of a plurality of panels including a cell panel, a tissue panel, and a structure panel. The dataset type indicates a use of the medical slide image and is designated as one of a plurality of uses including a training use of a medical learning model and a validation use of the machine learning model.

    METHOD FOR MANAGING ANNOTATION JOB, APPARATUS AND SYSTEM SUPPORTING THE SAME
    2.
    发明申请
    METHOD FOR MANAGING ANNOTATION JOB, APPARATUS AND SYSTEM SUPPORTING THE SAME 审中-公开

    公开(公告)号：US20200210926A1

    公开(公告)日：2020-07-02

    申请号：US16814131

    申请日：2020-03-10

    Applicant: Lunit Inc.

    Inventor： Kyoung Won Lee ,  Kyung Hyun Paeng

    IPC: G06Q10/06 ,  G06T7/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H10/40

    Abstract: A computing device obtains information about a medical slide image, and determines a dataset type of the medical slide image and a panel of the medical slide image. The computing device assigns to an annotator account, an annotation job defined by at least the medical slide image, the determined dataset type, an annotation task, and a patch that is a partial area of the medical slide image. The annotation task includes the determined panel, and the panel is designated as one of a plurality of panels including a cell panel, a tissue panel, and a structure panel. The dataset type indicates a use of the medical slide image and is designated as one of a plurality of uses including a training use of a medical learning model and a validation use of the machine learning model.

    METHOD AND APPARATUS FOR MACHINE LEARNING
    3.
    发明申请
    METHOD AND APPARATUS FOR MACHINE LEARNING 审中-公开

    公开(公告)号：US20200151613A1

    公开(公告)日：2020-05-14

    申请号：US16684627

    申请日：2019-11-15

    Applicant: Lunit Inc.

    Inventor： Dong Geun YOO ,  Kyung Hyun Paeng ,  Sung Gyun Park

    IPC: G06N20/20 ,  G06F17/18 ,  G06F11/34

    Abstract: A machine learning method that may reduce an annotation cost and may improve performance of a target model is provided. Some embodiments of the present disclosure may provide a machine learning method performed by a computing device, including: acquiring a training dataset of a first model including a plurality of data samples to which label information is not given; calculating a miss-prediction probability of the first model on the plurality of data samples; configuring a first data sample group by selecting at least one data sample from the plurality of data samples based on the calculated miss-prediction probability; acquiring first label information on the first data sample group; and performing first learning on the first model by using the first data sample group and the first label information.

    Method for managing annotation job, apparatus and system supporting the same
    4.
    发明授权
    Method for managing annotation job, apparatus and system supporting the same 有权

    公开(公告)号：US11062800B2

    公开(公告)日：2021-07-13

    申请号：US16814131

    申请日：2020-03-10

    Applicant: Lunit Inc.

    Inventor： Kyoung Won Lee ,  Kyung Hyun Paeng

    IPC: G16H30/40 ,  G06K9/62 ,  G06N3/08 ,  G16H30/20 ,  G06F40/169 ,  G16H40/20 ,  G16H10/40 ,  G06Q10/06 ,  G06T7/00

    Abstract: A computing device obtains information about a medical slide image, and determines a dataset type of the medical slide image and a panel of the medical slide image. The computing device assigns to an annotator account, an annotation job defined by at least the medical slide image, the determined dataset type, an annotation task, and a patch that is a partial area of the medical slide image. The annotation task includes the determined panel, and the panel is designated as one of a plurality of panels including a cell panel, a tissue panel, and a structure panel. The dataset type indicates a use of the medical slide image and is designated as one of a plurality of uses including a training use of a medical learning model and a validation use of the machine learning model.

    Method and apparatus for machine learning
    5.
    发明授权
    Method and apparatus for machine learning 有权

    公开(公告)号：US10922628B2

    公开(公告)日：2021-02-16

    申请号：US16684627

    申请日：2019-11-15

    Applicant: Lunit Inc.

    Inventor： Dong Geun Yoo ,  Kyung Hyun Paeng ,  Sung Gyun Park

    IPC: G06N20/00 ,  G06N20/20 ,  G06F11/34 ,  G06F17/18

    Abstract: A machine learning method that may reduce an annotation cost and may improve performance of a target model is provided. Some embodiments of the present disclosure may provide a machine learning method performed by a computing device, including: acquiring a training dataset of a first model including a plurality of data samples to which label information is not given; calculating a miss-prediction probability of the first model on the plurality of data samples; configuring a first data sample group by selecting at least one data sample from the plurality of data samples based on the calculated miss-prediction probability; acquiring first label information on the first data sample group; and performing first learning on the first model by using the first data sample group and the first label information.

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