Confidence map generation for segmented optical coherence tomographic data
US11893663B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 31, 2021 |
| Grant date | Feb 6, 2024 |
| Priority date | — |
| Expiry date | Jul 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/197
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating a segmentation confidence map by processing classification values each indicating a respective classification of a respective voxel of a retinal C-scan into a respective retinal layer class of a predefined set of retinal layer classes, the method comprising: generating, for each voxel, a respective confidence value which indicates a level of confidence in the classification of the voxel; for a retinal layer class of the predefined set, identifying a subset of the voxels such that the classification value generated for each voxel indicates a classification of the voxel into the retinal layer class; calculating, for each A-scan having voxels in the identified subset, a respective average of the confidence indicator values generated for the voxels; and using the calculated averages to generate the map, which indicates a spatial distribution of a level of confidence in the classification of the voxels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.