Low-Dose CT Denoising on Mayo OOD 2020
37.59PSNR (dB)F2N-S2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| F2N-S2Training Paradigm=Zero-Shot, AGBF stages=2, GPU Time (s)=16, # Params.=3.6k2025.04 | 37.59 | 89.77 | |
| F2N-S1Training Paradigm=Zero-Shot, AGBF stages=1, GPU Time (s)=8, # Params.=1.8k2025.04 | 37.33 | 89.66 | |
| ZS-N2NTraining Paradigm=Zero-Shot, GPU Time (s)=22, # Params.=22k2025.04 | 37.21 | 88.63 | |
| DIPTraining Paradigm=Zero-Shot, GPU Time (s)=180, # Params.=2.2M2025.04 | 36.69 | 85.92 | |
| BM3DTraining Paradigm=Zero-Shot, GPU Time (s)=32025.04 | 36.5 | 87.57 | |
| Noise2CleanTraining Paradigm=Supervised Method, # Params.=2.2M2025.04 | 35.8 | 87.5 | |
| NB2NBTraining Paradigm=Noisy Dataset-Based, # Params.=1.3M2025.04 | 34.97 | 85.62 | |
| Noise2VoidTraining Paradigm=Noisy Dataset-Based, # Params.=2.2M2025.04 | 33.67 | 84.21 |