Low-dose CT Denoising on AAPM-Mayo (test)
31.418PSNRRED-CNN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| RED-CNNDescription=Classic deep learning method2026.05 | 31.418 | 97.01 | 4.26 | |
| WGANDescription=Classic GAN method2026.05 | 30.166 | 90.27 | 4.02 | |
| WGAN-VGGDescription=WGAN with VGG loss2026.05 | 29.715 | 89.84 | 2.33 | |
| Perceptual+ResNet-Attention+skipGenerator=ResNet-Attention+skip, Loss=Perceptual, Framework=CYCLE-GAN2026.05 | 29.176 | 90.76 | 2.63 | |
| Perceptual+U-NetGenerator=U-Net, Loss=Perceptual2026.05 | 28.981 | 90.01 | 2.94 | |
| Perceptua+Res-NetGenerator=Res-Net, Loss=Perceptual2026.05 | 28.765 | 89.64 | 3.17 | |
| LDCTDescription=Low-dose CT baseline2026.05 | 26.068 | 84.4 | 4.78 |