Classification on CC-CCII 68
90.83AccuracyVoCo
Evaluation results
| Method | Links | |
|---|---|---|
| VoCoNetwork=Swin-UNETR, Pre-training=Medical SSL2024.02 | 90.83 | |
| SwinMMNetwork=Swin-UNETR, Pre-training=Medical SSL2024.02 | 89.61 | |
| MAE3DNetwork=UNETR, Pre-training=General SSL2024.02 | 89.47 | |
| Swin-UNETRNetwork=Swin-UNETR, Pre-training=Medical SSL2024.02 | 89.45 | |
| Rubik++Network=Swin-UNETR, Pre-training=Medical SSL2024.02 | 89.23 | |
| PCRLv2Network=Swin-UNETR, Pre-training=Medical SSL2024.02 | 89.15 | |
| UNETRTraining=From Scratch2024.02 | 88.92 | |
| PCRLv1Network=Swin-UNETR, Pre-training=Medical SSL2024.02 | 88.72 | |
| Swin-UNETRTraining=From Scratch2024.02 | 88.04 | |
| PositionLabelNetwork=Swin-UNETR, Pre-training=General SSL2024.02 | 87.54 | |
| JigsawNetwork=Swin-UNETR, Pre-training=General SSL2024.02 | 86.88 | |
| MoCo v3Network=UNETR, Pre-training=General SSL2024.02 | 84.95 |