Medical Image Segmentation on Medical Image Segmentation Local Data (test)
95.68Best Avg DiceDante
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DanteSource Dataset=NIH Dataset, Fine-Tuning Strategy=LoRA (r=32)2026.05 | 95.68 | 15.81 | 15 | |
| DanteSource Dataset=NIH Dataset, Fine-Tuning Strategy=GU2026.05 | 95.55 | 15.68 | 14 | |
| DanteSource Dataset=CHAOS, Fine-Tuning Strategy=LoRA (r=32)2026.05 | 88.64 | 8.77 | 11 | |
| DanteSource Dataset=CHAOS, Fine-Tuning Strategy=GU2026.05 | 87.32 | 7.45 | 6 | |
| Scratch BaselineSource Dataset=None (Scratch), Fine-Tuning Strategy=Baseline2026.05 | 79.87 | — | 37 |