Medical Image Segmentation on ISIC 5 samples 2018 (train)
73.02DICE (%)SimSiam
Evaluation Results
| Method | Links | |
|---|---|---|
| SimSiamEncoder Type=SSL, Training Sample Number=52026.01 | 73.02 | |
| MAEEncoder Type=SSL, Training Sample Number=52026.01 | 69.99 | |
| MoCov2Encoder Type=SSL, Training Sample Number=52026.01 | 68.6 | |
| SegFormerEncoder Type=Trans, Training Sample Number=52026.01 | 67.74 | |
| DINO-AugSegEncoder Type=SSL, Training Sample Number=52026.01 | 67.64 | |
| AIMv2Encoder Type=SSL, Training Sample Number=52026.01 | 66.73 | |
| nn-UNetEncoder Type=Conv, Training Sample Number=52026.01 | 65.9 | |
| SegDINOEncoder Type=SSL, Training Sample Number=52026.01 | 64.85 | |
| SwinUNETREncoder Type=Trans, Training Sample Number=52026.01 | 62.95 | |
| SegResNetEncoder Type=Conv, Training Sample Number=52026.01 | 62.68 | |
| MISSFormerEncoder Type=Trans, Training Sample Number=52026.01 | 61.85 | |
| MultiResUNetEncoder Type=Conv, Training Sample Number=52026.01 | 61.79 | |
| Attention-UnetEncoder Type=Conv, Training Sample Number=52026.01 | 57.4 | |
| U-NetEncoder Type=Conv, Training Sample Number=52026.01 | 56.52 | |
| SegNetEncoder Type=Conv, Training Sample Number=52026.01 | 54.69 | |
| Unet++Encoder Type=Conv, Training Sample Number=52026.01 | 53.58 |