Multivariate and multi-resolution retinal image anomaly detection system
US11704791B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2019 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Jan 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning technologies are used to identify and separating abnormal and normal subjects and identifying possible disease types with images (e.g., optical coherence tomography (OCT) images of the eye), where the machine learning technologies are trained with only normative data. In one example, a feature or a physiological structure of an image is extracted, and the image is classified based on the extracted feature. In another example, a region of the image is masked and then reconstructed, and a similarity is determined between the reconstructed region and the original region of the image. A label (indicating an abnormality) and a score (indicating a severity) can be determined based on the classification and/or the similarity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.