Automatically detecting eye type in retinal fundus images
US10966602B2 · kind B2 · utility
0Cited by
4References
16Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 9, 2019 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Sep 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30041
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.