Image Super Resolution On Ixi
Métriques
PSNR 2x T2w
PSNR 4x T2w
SSIM 4x T2w
SSIM for 2x T2w
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR 2x T2w | PSNR 4x T2w | SSIM 4x T2w | SSIM for 2x T2w |
|---|---|---|---|---|
| mr-image-super-resolution-with-squeeze-and | 40.30 | 32.62 | 0.9472 | 0.9874 |
| multimodal-multi-head-convolutional-attention | 40.43 | 32.70 | 0.9469 | 0.9877 |
| residual-dense-network-for-image-super | 38.75 | 31.45 | 0.9324 | 0.9838 |
| channel-splitting-network-for-single-mr-image | 39.71 | 32.05 | 0.9413 | 0.9863 |
| task-transformer-network-for-joint-mri | 29.38 | 28.66 | 0.8500 | 0.8720 |
| accurate-image-super-resolution-using-very | 38.65 | 30.79 | 0.9240 | 0.9836 |
| image-super-resolution-using-deep | 37.32 | 29.69 | 0.9052 | 0.9796 |
| fast-and-accurate-single-image-super | 39.09 | 31.37 | 0.9312 | 0.9846 |
| convolutional-neural-networks-with-3 | 38.67 | 30.57 | 0.9210 | 0.9837 |