Predicting disease progression from tissue images and tissue segmentation maps
US11935232B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 17, 2020 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Nov 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final progression score characterizing a likelihood that a state of a medical condition affecting eye tissue will progress to a target state in a future interval of time. In one aspect, a method comprises: obtaining: (i) an input image of eye tissue captured using an imaging modality, and (ii) a segmentation map of the eye tissue in the input image into a plurality of tissue types; providing the input image to each of one or more first classification neural networks to obtain a respective first progression score from each first classification neural network; providing the segmentation map to each of one or more second classification neural networks to obtain a respective second progression score from each second classification neural network; and generating the final progression score based on the first and second progression scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.