Public
Endoscopy — Public Tier
(3 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| fiber_coupling | -5.0 – 10.0 | 2.5 | % |
| core_spacing | -0.5 – 1.0 | 0.25 | μm |
| bending_loss | -0.3 – 0.6 | 0.15 | dB |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
11.40 dB
SSIM 0.3099
Scenario II (Mismatch)
4.64 dB
SSIM 0.0951
Scenario III (Oracle)
0.00 dB
SSIM 0.0000
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 11.33 | 0.2391 | 4.35 | 0.1045 | 0.00 | 0.0000 |
| scene_01 | 11.16 | 0.4853 | 3.99 | 0.1293 | 0.00 | 0.0000 |
| scene_02 | 11.18 | 0.2266 | 5.41 | 0.0752 | 0.00 | 0.0000 |
| scene_03 | 11.91 | 0.2887 | 4.81 | 0.0714 | 0.00 | 0.0000 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffEndo + gradient | 0.841 | 36.77 | 0.977 | 0.91 | ✓ Certified | Gao et al., MICCAI 2024 |
| 2 | PhysEndo + gradient | 0.826 | 35.58 | 0.971 | 0.91 | ✓ Certified | Chen et al., Med. Image Anal. 2024 |
| 3 | TransEndo + gradient | 0.820 | 34.89 | 0.967 | 0.92 | ✓ Certified | Wang et al., Med. Image Anal. 2022 |
| 4 | SwinEndo + gradient | 0.813 | 34.66 | 0.966 | 0.9 | ✓ Certified | Li et al., IEEE TMI 2023 |
| 5 | EndoSLAM-Net + gradient | 0.791 | 32.53 | 0.948 | 0.93 | ✓ Certified | Ozyoruk et al., Med. Image Anal. 2021 |
| 6 | DnCNN-Endo + gradient | 0.729 | 29.15 | 0.903 | 0.88 | ✓ Certified | Zhang et al., IEEE TIP 2017 |
| 7 | BM3D-Endo + gradient | 0.683 | 26.69 | 0.85 | 0.88 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 8 | CLAHE-Endo + gradient | 0.663 | 25.34 | 0.813 | 0.92 | ✓ Certified | Zuiderveld, Graphics Gems IV 1994 |
| 9 | Histogram-Eq + gradient | 0.597 | 22.41 | 0.707 | 0.95 | ✓ Certified | Gonzalez & Woods, Digital Image Processing 2002 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%