Automatically detecting eye type in retinal fundus images
US10405739B2 · kind B2 · utility
1Cited by
1References
19Claims
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Key dates
| Filing date | Feb 19, 2016 |
| Grant date | Sep 10, 2019 |
| Priority date | — |
| Expiry date | Jun 29, 2036 |
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.