Method, device, and storage medium for weakly-supervised universal lesion segmentation with regional level set loss
US11900596B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Aug 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a computer-implemented method, a device, and a storage medium. The method includes inputting an image into an attention-enhanced high-resolution network (AHRNet) to extract feature maps for generating a first feature map; generating a first probability map which is concatenated with the first feature map to form a concatenated first feature map, and updating the AHRNet using the first segmentation loss; generating a second feature map, and scaling the second feature map to form a third feature map; generating a second probability map which is concatenated with the third feature map to form a concatenated third feature map, and updating the AHRNet using the second segmentation loss; generating a fourth feature map, and scaling the fourth feature map to form a fifth feature map; updating the AHRNet using the third segmentation loss and the regional level set loss; and outputting the third probability map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.