Automatically identifying regions of interest of an object from horizontal images using a machine learning guided imaging system
US11132797B2 · kind B2 · utility
8Cited by
2References
17Claims
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Key dates
| Filing date | Dec 6, 2018 |
| Grant date | Sep 28, 2021 |
| Priority date | — |
| Expiry date | Mar 27, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A multimodal imaging system and method is capable of taking fundus images, automatically identifying regions of interest (ROIs) of the eye from the fundus images, and performing OCT imaging in the identified ROIs, where the OCT images can provide clinically relevant information for screening purposes. By automatically identifying the ROIs, expert intervention is not required to perform specialized OCT imaging and thus, such imaging and analysis can be provided at more facilities and for more subjects for a lower cost.
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