公开(公告)号：US20200163550A1

公开(公告)日：2020-05-28

申请号：US16275773

申请日：2019-02-14

Applicant: Canon Medical Systems Corporation

Inventor： Takuma IGARASHI ,  Qiqi XU ,  Fanjie MENG

IPC: A61B5/00 ,  A61B5/055

Abstract: A medical image diagnosis apparatus according to an embodiment includes an imager, a storage, and processing circuitry. The storage stores therein a correspondence relationship between each of disease patterns and scans used for performing a differential diagnosis process on the disease pattern. The processing circuitry obtains, based on image data acquired by a first scan, a disease pattern having a possibility of being applicable to the subject and a first index value indicating a degree of applicability of the disease pattern. The processing circuitry outputs information indicating the disease pattern to a display when it is possible to perform the differential diagnosis process based on the first index value and outputs an imaging condition used for performing a second scan based on the correspondence relationship and the disease pattern having the possibility when it is not possible to perform the differential diagnosis process based on the first index value.

公开(公告)号：US20200167912A1

公开(公告)日：2020-05-28

申请号：US16600693

申请日：2019-10-14

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Qiqi XU ,  Fanjie MENG ,  Hitoshi YAMAGATA

IPC: G06T7/00 ,  G06T7/11 ,  G06K9/46

Abstract: A medical image diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain image data which is generated by scanning a brain of a subject; select a target region from the image data; extract a connected region of which a brain function is associated with a brain function of the target region, as an additional region; and output scan target region including the target region and the additional region.

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.

公开(公告)号：US20230394791A1

公开(公告)日：2023-12-07

申请号：US18329832

申请日：2023-06-06

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Sha WANG ,  Bing HAN ,  Fanjie MENG ,  Qiqi XU ,  Ye YUE

IPC: G06V10/764 ,  G06T7/11 ,  G06V10/25

CPC classification number: G06V10/764 ,  G06T7/11 ,  G06V10/25

Abstract: An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.