Medical Image Segmentation on TN3K 1.0 (test)
84.43mDiceCurriculum Prompting
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Curriculum Prompting2024.09 | 84.43 | 76.367 | |
| TRFE+2024.09 | 83.3 | 71.38 | |
| nnSAM2024.09 | 82.797 | 74.027 | |
| Grounded SAM2024.09 | 81.6 | 73.986 | |
| MedSAMprompt=Box2024.09 | 81.126 | 69.161 | |
| LViT-T2024.09 | 76.871 | 66.573 | |
| CaraNet2024.09 | 72.647 | 62.746 | |
| SAM-Med2Dprompt=9 points2024.09 | 64.74 | 55.76 | |
| SAMmode=fine-tuned2024.09 | 50.791 | 39.771 |