Generalized retinal image screening system (GRIS)
US10610098B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 11, 2018 |
| Grant date | Apr 7, 2020 |
| Priority date | — |
| Expiry date | Apr 11, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention provide a system and method to automatically screen images from a plurality of fundus cameras for a plurality of retinal diseases. The system comprises stacked autoencoders, amplitude modulation-frequency modulation filters, and artificial neural networks. An embodiment of the present invention uses a multi-class classifier, such as a support vector machine (multi-class SVM) classifier, to determine a plurality of retinal pathologies. An exemplary embodiment of the present invention is validated on a proprietary database of thousands of images (for example over 250,000 retinal images) from multiple cameras, ranging from the table-top fundus cameras to portable hand-held cameras.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.