Out-of-distribution detection for artificial intelligence systems for prostate cancer detection
US12198337B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2022 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Jan 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for determining whether input medical images are out-of-distribution of training images on which a machine learning based medical imaging analysis network is trained are provided. One or more input medical images of a patient are received. One or more reconstructed images of the one or more input medical images are generated using a machine learning based reconstruction network. It is determined whether the one or more input medical images are out-of-distribution from training images on which a machine learning based medical imaging analysis network is trained based on the one or more input medical images and the one or more reconstructed images. The determination of whether the one or more input medical images are out-of-distribution from the training images is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.