Acute intracranial hemorrhage segmentation on brain images for volume quantification and individual detection
US12190523B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 2022 |
| Grant date | Jan 7, 2025 |
| Priority date | — |
| Expiry date | Mar 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for determining a segmentation of a hemorrhage are provided. An input medical image of a hemorrhage of a patient is received. A contour-sensitive segmentation of the hemorrhage from the input medical image is performed using a machine learning based contour-sensitive segmentation network. A detection-sensitive segmentation of the hemorrhage from the input medical image is performed using a machine learning based detection-sensitive segmentation network. A final segmentation of the hemorrhage from the input medical image is determined based on results of the contour-sensitive segmentation and results of the detection-sensitive segmentation. The final segmentation of the hemorrhage is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.