APPARATUS FOR QUALITY MANAGEMENT OF MEDICAL IMAGE INTERPRETATION USING MACHINE LEARNING, AND METHOD THEREOF

    公开(公告)号:US20210073990A1

    公开(公告)日:2021-03-11

    申请号:US17073065

    申请日:2020-10-16

    Applicant: Lunit Inc.

    Abstract: Provided are a computerized image interpretation method and a device for analyzing a medical image. The image interpretation method may include receiving, at a processor, a medical image, and receiving report information including a healthcare worker's judgement result of the medical image. The method may also include generating, at the processor, result information representing correspondence between first lesion information, which is related to a lesion in the medical image acquired on the basis of the medical image, and second lesion information, which is related to a lesion in the medical image acquired on the basis of the report information, by applying the first lesion information and the second lesion information to a third analysis model. The method may further include outputting, at the processor, the result information.

    APPARATUS FOR QUALITY MANAGEMENT OF MEDICAL IMAGE INTERPRETATION USING MACHINE LEARNING, AND METHOD THEREOF

    公开(公告)号:US20250124577A1

    公开(公告)日:2025-04-17

    申请号:US18986988

    申请日:2024-12-19

    Applicant: Lunit Inc.

    Abstract: Provided are a computerized image interpretation method and a device for analyzing a medical image. The image interpretation method may include receiving, at a processor, a medical image, and receiving report information including a healthcare worker's judgement result of the medical image. The method may also include generating, at the processor, result information representing correspondence between first lesion information, which is related to a lesion in the medical image acquired on the basis of the medical image, and second lesion information, which is related to a lesion in the medical image acquired on the basis of the report information, by applying the first lesion information and the second lesion information to a third analysis model. The method may further include outputting, at the processor, the result information.

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