公开(公告)号：US20230019622A1

公开(公告)日：2023-01-19

申请号：US17811607

申请日：2022-07-11

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Fanjie MENG ,  Bing HAN ,  Sha WANG ,  Ye YUE ,  Xu YANG ,  Tianhong LI

IPC: G06N20/00

Abstract: A model training device according to an embodiment of the present disclosure includes processing circuitry. The processing circuitry is configured to obtain an initial learning model by learning a data set including medical images as learning data. The processing circuitry is configured to evaluate the initial learning model by using a global metric, so as to obtain error data sets each having an outlier from among a plurality of data sets used in the evaluation. The processing circuitry is configured to obtain a plurality of error data set groups by grouping the plurality of error data sets while using a local metric. The processing circuitry is configured to specify model training information with respect to each of the error data set groups.

公开(公告)号：US20230410497A1

公开(公告)日：2023-12-21

申请号：US18334779

申请日：2023-06-14

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Xu YANG ,  Fanjie MENG ,  Tianhong LI ,  Xinyao LI

IPC: G06V10/94 ,  G06V20/70 ,  G06V10/40 ,  G16H30/40

CPC classification number: G06V10/945 ,  G06V20/70 ,  G06V10/40 ,  G16H30/40 ,  G06V2201/03

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image subject to a labeling process. The processing circuitry is configured to receive a labeling step in a labeling task performed on the medical image. The processing circuitry is configured, while the labeling step in the labeling task is received, to analyze a local characteristic of a target structure serving as a labeling target in the medical image. The processing circuitry is configured to generate a usable tool set corresponding to the labeling task performed on the medical image, on the basis of the local characteristic.