Low-Dose CT Denoising on Mayo B30 ID 2016
40.52PSNR (dB)Noise2Clean
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Noise2CleanTraining Paradigm=Supervised Method, # Params.=2.2M2025.04 | 40.52 | 92.5 | |
| F2N-S2Training Paradigm=Zero-Shot, AGBF stages=2, GPU Time (s)=16, # Params.=3.6k2025.04 | 39.81 | 91.54 | |
| F2N-S1Training Paradigm=Zero-Shot, AGBF stages=1, GPU Time (s)=8, # Params.=1.8k2025.04 | 39.34 | 91.26 | |
| DIPTraining Paradigm=Zero-Shot, GPU Time (s)=180, # Params.=2.2M2025.04 | 37.94 | 90.74 | |
| NB2NBTraining Paradigm=Noisy Dataset-Based, # Params.=1.3M2025.04 | 37.43 | 89.45 | |
| BM3DTraining Paradigm=Zero-Shot, GPU Time (s)=32025.04 | 37.15 | 89.41 | |
| Noise2VoidTraining Paradigm=Noisy Dataset-Based, # Params.=2.2M2025.04 | 36.51 | 89.15 | |
| ZS-N2NTraining Paradigm=Zero-Shot, GPU Time (s)=22, # Params.=22k2025.04 | 36.13 | 87.33 |