Genomic biomarker prediction from medical images
US12347559B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 29, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Sep 29, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/032
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, apparatus, and non-transitory computer-readable medium are provided for image processing of medical images. The method may include receiving one or more medical images. Tissue regions may be identified in each of the one or more medical images. The method may include generating patches associated with respective identified tissue regions. A patch tumor burden (TMB) score may be predicted for each of the patches based on a neural network model, wherein the neural network model is trained using a distribution smoother and a weighted loss function. The method may also include a tumor burden score being generated for each of the one or more medical images based on the patch tumor burden score for patches associated with the respective identified tissue regions in respective medical images from the one or more medical images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.