Classification on fastMRI knee
0.89AUROCResNet50
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ResNet50Undersampling=02026.01 | 0.89 | 0.552 | |
| EfficientNetUndersampling=02026.01 | 0.88 | 0.536 | |
| EfficientNetUndersampling=22026.01 | 0.867 | 0.523 | |
| EfficientNetUndersampling=42026.01 | 0.867 | 0.519 | |
| ViT-TinyUndersampling=02026.01 | 0.867 | 0.52 | |
| ResNet50Undersampling=42026.01 | 0.866 | 0.524 | |
| ResNet50Undersampling=22026.01 | 0.865 | 0.513 | |
| EfficientNetUndersampling=62026.01 | 0.856 | 0.51 | |
| EfficientNetUndersampling=82026.01 | 0.849 | 0.498 | |
| kViTUndersampling=02026.01 | 0.845 | 0.494 | |
| ResNet50Undersampling=62026.01 | 0.843 | 0.494 | |
| ViT-TinyUndersampling=42026.01 | 0.842 | 0.499 | |
| kViTUndersampling=22026.01 | 0.839 | 0.489 | |
| EfficientNetUndersampling=102026.01 | 0.836 | 0.476 | |
| ViT-TinyUndersampling=22026.01 | 0.836 | 0.492 | |
| kViTUndersampling=42026.01 | 0.834 | 0.487 | |
| kViTUndersampling=62026.01 | 0.832 | 0.486 | |
| kViTUndersampling=82026.01 | 0.83 | 0.485 | |
| ViT-TinyUndersampling=62026.01 | 0.827 | 0.484 | |
| kViTUndersampling=102026.01 | 0.822 | 0.483 | |
| ResNet50Undersampling=82026.01 | 0.82 | 0.465 | |
| ViT-TinyUndersampling=82026.01 | 0.816 | 0.474 | |
| ViT-TinyUndersampling=102026.01 | 0.806 | 0.461 | |
| ResNet50Undersampling=102026.01 | 0.801 | 0.449 | |
| EfficientNetUndersampling=122026.01 | 0.786 | 0.423 | |
| ResNet50Undersampling=122026.01 | 0.767 | 0.412 | |
| EfficientNetUndersampling=162026.01 | 0.766 | 0.402 | |
| ResNet50Undersampling=162026.01 | 0.756 | 0.405 | |
| EfficientNetUndersampling=242026.01 | 0.74 | 0.38 | |
| kViTUndersampling=122026.01 | 0.737 | 0.41 | |
| ViT-TinyUndersampling=122026.01 | 0.727 | 0.385 | |
| ResNet50Undersampling=242026.01 | 0.708 | 0.369 | |
| ViT-TinyUndersampling=162026.01 | 0.694 | 0.354 | |
| kViTUndersampling=162026.01 | 0.682 | 0.368 | |
| ViT-TinyUndersampling=242026.01 | 0.674 | 0.34 | |
| kViTUndersampling=242026.01 | 0.668 | 0.356 |