发明申请
WO2023092124A1 MACHINE-LEARNING BASED SEGMENTATION OF BIOLOGICAL OBJECTS IN MEDICAL IMAGES
审中-公开
基本信息:
- 专利标题: MACHINE-LEARNING BASED SEGMENTATION OF BIOLOGICAL OBJECTS IN MEDICAL IMAGES
- 申请号:PCT/US2022/080245 申请日:2022-11-21
- 公开(公告)号:WO2023092124A1 公开(公告)日:2023-05-25
- 发明人: JEMAA, Mohamed Skander , PETROV, Yury Anatolievich , WANG, Xiaoyong , BENGTSSON, Nils Gustav Thomas , CARANO, Richard Alan Duray
- 申请人: GENENTECH, INC.
- 申请人地址: 1 DNA Way
- 专利权人: GENENTECH, INC.
- 当前专利权人: GENENTECH, INC.
- 当前专利权人地址: 1 DNA Way
- 代理机构: LACOUR, Travis W. et al.
- 优先权: US63/282,038 2021-11-22
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; G06T7/11
摘要:
In one embodiment, a method includes accessing a first scan image from a set of computed tomography (CT) scan images with each CT scan image being at a first resolution, generating a first downscaled image of the first scan image by resampling the first scan image to a second resolution that is lower than the first resolution, determining coarse segmentations corresponding to organs portrayed in the first scan image by first machine-learning models based on the first downscaled image, extracting segments of the first scan image based, on the coarse segmentations with each extracted segment being at the first resolution, determining fine segmentations corresponding to the respective organs portrayed in the extracted segments by second machine-learning models based on the extracted segments, and generating a segmented image of the first scan image based on the fine segmentations, wherein the segmented image comprises confirmed segmentations corresponding to the organs.
IPC结构图谱:
G | 物理 |
--G06 | 计算;推算;计数 |
----G06T | 一般的图像数据处理或产生 |
------G06T7/00 | 图像分析,例如从位像到非位像 |