公开(公告)号：US20240394871A1

公开(公告)日：2024-11-28

申请号：US18261462

申请日：2022-08-26

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Cuifang Zhang ,  Zhenzhong Zhang ,  Yulan Hu ,  Shuobin Liang ,  Xiaotian Jiang

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/174 ,  G06V10/26 ,  G06V10/77 ,  G06V10/774 ,  G06V10/80

Abstract: The present disclosure provides Aa computer-implemented method, a method of training a deep learning model, an electronic device, and a medium are provided. The method includes: obtaining a target image segmentation result according to a target medical image of a target part, wherein the target medical image includes a medical image in at least one modality; obtaining target fusion data according to the target medical image segmentation result and a medical image in a predetermined modality in the target medical image; and obtaining a target multi-mutation detection result according to the target fusion data.

公开(公告)号：US20240331416A1

公开(公告)日：2024-10-03

申请号：US18550267

申请日：2022-11-11

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yulan Hu ,  Zhenzhong Zhang ,  Xiaotian Jiang

IPC: G06V20/69 ,  A61B5/00 ,  G06T7/00 ,  G06V10/62 ,  G06V10/70 ,  G06V10/77 ,  G06V10/774 ,  G06V10/80 ,  G06V20/50 ,  G16B40/20

CPC classification number: G06V20/698 ,  A61B5/0042 ,  G06T7/0016 ,  G06V10/62 ,  G06V10/7715 ,  G06V10/774 ,  G06V10/806 ,  G06V10/87 ,  G06V20/50 ,  G16B40/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06T2207/30096 ,  G06V2201/03

Abstract: The present disclosure provides a method of processing medical data, which includes: acquiring first medical image data; inputting the first medical image data into a first feature extraction network to obtain a first image feature; and obtaining a first gene mutation information according to the first image feature. The first feature extraction network includes a first feature extraction module configured to: determine a first image query matrix and a first image key matrix according to the first medical image data; determine a first image weight matrix according to the first image query matrix and the first image key matrix, where the first image weight matrix represents a correlation information between each two first medical images in the first medical image data; and determine the first image feature according to the first image weight matrix and the first medical image data.

公开(公告)号：US20250139768A1

公开(公告)日：2025-05-01

申请号：US18694188

申请日：2023-07-31

Applicant: BOE Technology Group Co., Ltd.

Inventor： Yulan Hu ,  Cuifang Zhang

IPC: G06T7/00 ,  G06V10/44 ,  G06V10/54 ,  G06V10/764 ,  G06V10/80 ,  G16H30/40

Abstract: A method and an apparatus for acquiring a classification model, a method and an apparatus for determining an expression category, a device, and a medium are provided. The method for acquiring the classification model includes: for a tumor region of a sample object, acquiring a plurality of radiomics features and a plurality of voxel features of the tumor region; screening the plurality of radiomics features based on a first screening factor to obtain a plurality of radiomics feature samples; and screening the plurality of voxel features based on a second screening factor to obtain a plurality of voxel feature samples; wherein each of the first screening factor and the second screening factor includes an expression category label of a target gene of the sample object; constructing training samples based on the plurality of radiomics feature samples and the plurality of voxel feature samples.

公开(公告)号：US12268936B2

公开(公告)日：2025-04-08

申请号：US17462949

申请日：2021-08-31

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yulan Hu

IPC: A63B24/00 ,  G06F3/0482 ,  G06F3/16 ,  G06F16/2457 ,  G06F16/901 ,  G16H10/20 ,  G16H10/60 ,  G16H20/30 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  A61B5/00 ,  G16H20/60

Abstract: An exercise recommendation method and apparatus are described. The method includes: acquiring basic information of a user; querying a pre-established exercise knowledge graph according to the basic information of the user to obtain a target exercise mode list comprising exercise modes, and an evaluation attribute list comprising evaluation attributes corresponding to the target exercise mode list; determining at least one exercise program according to the target exercise mode list and the evaluation attribute list; performing ranking processing on the at least one exercise program according to the evaluation attribute list to obtain a ranking result; recommending at least one target exercise program according to the ranking result.