ENDOSCOPIC EXAMINATION SUPPORT APPARATUS, ENDOSCOPIC EXAMINATION SUPPORT METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20250095145A1

    公开(公告)日:2025-03-20

    申请号:US18559635

    申请日:2023-01-11

    Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.

    ENDOSCOPIC EXAMINATION SUPPORT APPARATUS, ENDOSCOPIC EXAMINATION SUPPORT METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20240225416A1

    公开(公告)日:2024-07-11

    申请号:US18531859

    申请日:2023-12-07

    CPC classification number: A61B1/000094 A61B1/000096

    Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.

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