Implement mutual conversion between virtual endoscope and real endoscope images based on cyclgan. Realize defogging of endoscopic videos.
Table 1. Performance on synthetic colonoscopy datasets of DenseDepth
| Method | 𝐿1 (cm) | 𝐿𝑅𝑀𝑆𝐸 (cm) | 𝐿𝑟𝑒𝑙 (%) |
|---|---|---|---|
| DenseDepth | 0.038 | 0.066 | 1.22 |
Table 2. Performance on synthetic colonoscopy datasets of SC-SfMLearner
| Trajectory Scale | ATE (cm) | RTE (mm) | ROT (°) |
|---|---|---|---|
| Frames_S9 | 1.03 | 3.34 | 0.12 |
| Frames_B9 | 1.04 | 2.72 | 0.14 |
| Frames_S4 | 1.01 | 6.16 | 0.15 |
| Frames_B4 | 1.05 | 5.10 | 0.15 |
| Frames_S14 | 1.00 | 7.99 | 0.15 |
| Frames_B14 | 1.05 | 3.37 | 0.16 |
| Average | 4.78 | 0.145 | 0.18 |
Results
