Automated tumor identification and segmentation with medical images
US12299890B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2022 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Jun 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Medical image(s) are input into a detection network to generate mask(s) identifying a set of regions within the medical image(s), where the detection network predicts that each region identified in the mask(s) includes a depiction of a tumor of one or more tumors within the subject. For each region, the region of the medical image(s) is processed using a tumor segmentation network to generate one or more tumor segmentation boundaries for the tumor present within the subject. For each tumor and by using a plurality of organ-specific segmentation networks, an organ is determined within which at least part of the tumor is located. An output is generated based on the one or more tumor segmentation boundaries and locations of the organs within which at least part of the one or more tumors are located.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.