Patent ID: 11893663
Assignee: OPTOS PLC
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 4:
5. The non-transitory computer-readable storage medium according to claim 1, wherein
the retinal layer segmentation algorithm generates the retinal layer segmentation data by calculating, for each voxel of the at least a portion of the C-scan, a respective set of probability values, wherein each probability value indicates a probability of the voxel belonging to a respective class of a predefined set of classes, the predefined set of classes comprising the predefined set of retinal layer classes and a predefined background class,
the value of the classification indicator generated for each voxel of the set of voxels indicates a classification of the voxel as belonging to a respective class of the predefined set of classes, and
the method further comprises:
for the background class, identifying a second subset of the set of voxels such that the value of the classification indicator generated for each voxel of the second subset indicates a classification of the voxel as belonging to the background class;
calculating, for each A-scan of a plurality of A-scans of the C-scan, which A-scan has at least one voxel in the identified second subset, a respective value of the second confidence indicator, based on at least one value of the first confidence indicator that has been respectively generated for the at least one voxel in the A-scan; and
generating a second segmentation confidence map using the values of the second confidence indicator calculated for the A-scans having at least one voxel in the identified second subset, such that the second segmentation confidence map indicates a spatial distribution of a level of confidence in the classification of the voxels in the second subset as belonging to the background class.