Table 3. Comparison with other methods that may improve the annotation efficiency in OCT segmentation. The data format in the table is the mean (standard deviation).
Methods | SRF | PED | Choroid | ||||
---|---|---|---|---|---|---|---|
10% | 100% | 10% | 100% | 10% | 100% | ||
Transfer learning [29] | 0.637 (0.278) | 0.727 (0.239) | 0.381 (0.212) | 0.525 (0.254) | 0.875 (0.087) | 0.890 (0.076) | |
Semi-supervised learning-1 [48] | 0.784 (0.220) | 0.796 (0.198) | 0.587 (0.244) | 0.622 (0.255) | 0.871 (0.076) | 0.882 (0.095) | |
Semi-supervised learning-2 [49] | 0.737 (0.267) | 0.798 (0.193) | 0.536 (0.229) | 0.672 (0.212) | 0.874 (0.081) | 0.888 (0.084) | |
Ours | 0.795 (0.186) | 0.824 (0.148) | 0.676 (0.209) | 0.724 (0.196) | 0.879 (0.077) | 0.895 (0.073) |