Medical Image Segmentation on TN3K 100 samples (train)
66.16DICESegDINO
Evaluation results
| Method | Links | |
|---|---|---|
| SegDINOEncoder Type=SSL, Training Sample Number=1002026.01 | 66.16 | |
| DINO-AugSegEncoder Type=SSL, Training Sample Number=1002026.01 | 65.4 | |
| MoCov2Encoder Type=SSL, Training Sample Number=1002026.01 | 62.78 | |
| SimSiamEncoder Type=SSL, Training Sample Number=1002026.01 | 60.8 | |
| SegNetEncoder Type=Conv, Training Sample Number=1002026.01 | 55.04 | |
| Unet++Encoder Type=Conv, Training Sample Number=1002026.01 | 55.04 | |
| MAEEncoder Type=SSL, Training Sample Number=1002026.01 | 52.99 | |
| SegResNetEncoder Type=Conv, Training Sample Number=1002026.01 | 51.75 | |
| AIMv2Encoder Type=SSL, Training Sample Number=1002026.01 | 50.56 | |
| MISSFormerEncoder Type=Trans, Training Sample Number=1002026.01 | 47.76 | |
| SwinUNETREncoder Type=Trans, Training Sample Number=1002026.01 | 46.73 | |
| Attention-UnetEncoder Type=Conv, Training Sample Number=1002026.01 | 45.65 | |
| nn-UNetEncoder Type=Conv, Training Sample Number=1002026.01 | 45.46 | |
| U-NetEncoder Type=Conv, Training Sample Number=1002026.01 | 45.46 | |
| SegFormerEncoder Type=Trans, Training Sample Number=1002026.01 | 45.46 | |
| MultiResUNetEncoder Type=Conv, Training Sample Number=1002026.01 | 37.35 |