Table 6 Comparison SDNet on only denoising and both denoising and super-resolution on different datasets, SR for super-resolution, and DN is for denoising.
From: Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation
| Â | CNR | PSNR | TP | MSR | ||||
|---|---|---|---|---|---|---|---|---|
SR + DN | DN | SR + DN | DN | SR + DN | DN | SR + DN | DN | |
SS-OCT | 28.14 | 29.54 | 36.94 | 37.32 | 0.51 | 0.51 | 40.97 | 41.35 |
3D-OCT1000 | 31.75 | 31.77 | 40.20 | 41.31 | 1.03 | 1.00 | 20.58 | 20.64 |
Bioptigen | 21.34 | 21.50 | 30.04 | 31.07 | 0.61 | 0.65 | 18.60 | 18.61 |
A2A | 27.91 | 27.73 | 28.01 | 28.13 | 0.64 | 0.66 | 17.94 | 17.88 |
