Medical Image Segmentation on Kvasir-SEG 10 samples (train)
73.59Dice Score (%)DINO-AugSeg
Evaluation results
| Method | Links | |
|---|---|---|
| DINO-AugSegEncoder Type=SSL, Training Sample Number=102026.01 | 73.59 | |
| SegDINOEncoder Type=SSL, Training Sample Number=102026.01 | 64.38 | |
| MoCov2Encoder Type=SSL, Training Sample Number=102026.01 | 60.63 | |
| AIMv2Encoder Type=SSL, Training Sample Number=102026.01 | 57.22 | |
| SimSiamEncoder Type=SSL, Training Sample Number=102026.01 | 57.1 | |
| MAEEncoder Type=SSL, Training Sample Number=102026.01 | 42.69 | |
| SwinUNETREncoder Type=Trans, Training Sample Number=102026.01 | 39.92 | |
| nn-UNetEncoder Type=Conv, Training Sample Number=102026.01 | 38.24 | |
| Attention-UnetEncoder Type=Conv, Training Sample Number=102026.01 | 32.78 | |
| SegNetEncoder Type=Conv, Training Sample Number=102026.01 | 32.34 | |
| MultiResUNetEncoder Type=Conv, Training Sample Number=102026.01 | 31.85 | |
| SegResNetEncoder Type=Conv, Training Sample Number=102026.01 | 31.1 | |
| U-NetEncoder Type=Conv, Training Sample Number=102026.01 | 30.84 | |
| Unet++Encoder Type=Conv, Training Sample Number=102026.01 | 17.34 | |
| MISSFormerEncoder Type=Trans, Training Sample Number=102026.01 | 16.88 | |
| SegFormerEncoder Type=Trans, Training Sample Number=102026.01 | 15.41 |