Medical Image Quality Assessment on Pre-training dataset (test)
0.777SRCCMedIQA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MedIQABackbone=Ours2025.07 | 0.777 | 0.811 | 0.2609 | |
| Swin-transformerBackbone=Swin-transformer2025.07 | 0.6626 | 0.6758 | 0.2842 | |
| VGGBackbone=VGG2025.07 | 0.6623 | 0.6744 | 0.2838 | |
| WaDIQAMBackbone=WaDIQAM2025.07 | 0.6478 | 0.6298 | 0.2998 | |
| ViTBackbone=ViT2025.07 | 0.5852 | 0.5858 | 0.3044 | |
| CNNIQAnetBackbone=CNNIQAnet2025.07 | 0.5486 | 0.5266 | 0.3202 | |
| ResnetBackbone=ResNet2025.07 | 0.5413 | 0.5506 | 0.2994 | |
| DeepViTBackbone=DeepViT2025.07 | 0.5402 | 0.5432 | 0.3108 |