System for recognizing diabetic retinopathy
US11666210B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 19, 2021 |
| Grant date | Jun 6, 2023 |
| Priority date | — |
| Expiry date | Nov 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments of the disclosure provide an artificial neural network system for recognizing a lesion in a fundus image. The system includes a pre-processing module configured to pre-process a target fundus image and a reference fundus image taken from one person separately, a first neural network (12) configured to generate a first advanced feature set from the target fundus image, a second neural network (22) configured to generate a second advanced feature set from the reference fundus image, a feature combination module (13) configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set, and a third neural network (14) configured to generate, according to the feature combination set, a judgmental result of lesions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.