Mitochondria Segmentation on Human → Stem
0.863DicePrefer-DAS (LPO)+
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Prefer-DAS (LPO)+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.863 | 68.6 | 62 | |
| Prefer-DAS (LPO)Segmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.856 | 67.9 | 62 | |
| Prefer-DAS (SLPO)+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.849 | 64.4 | 59.7 | |
| Fully-Supervised ModelTypes=Oracle2026.02 | 0.848 | 71.9 | 71.9 | |
| Prefer-DAS (SLPO)Segmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.842 | 63.7 | 59.7 | |
| Prefer-DAS (UPO)+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.842 | 52.5 | 53.9 | |
| Prompt-DAS+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.838 | 52 | 53.6 | |
| Prefer-DAS (UPO)Segmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.834 | 51.9 | 53.8 | |
| Prefer-DAS (UPO)Segmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.833 | 53.9 | 54.3 | |
| Prompt-DAS (UDA)Segmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.829 | 51.6 | 53.6 | |
| Prompt-DASSegmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.829 | 51.5 | 53.6 | |
| Prefer-DAS (Source)+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.823 | 51.3 | 53.2 | |
| WDA-NetSegmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.807 | 48.8 | 50 | |
| CAFASegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.796 | 47.4 | 48.9 | |
| DAMT-NetSegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.786 | 48 | 53.5 | |
| Prefer-DAS (Source)Segmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.768 | 45.3 | 45.8 | |
| WDA-Net (UDA)Segmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.745 | 48.2 | 44 | |
| DA-ISCSegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.72 | 38.8 | 35.6 | |
| SAM-Med2D+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.687 | 42.9 | 22.4 | |
| UALRSegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.655 | 38.7 | 28.7 | |
| Med-SAM Adapter+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%, Fine-tuned on source=true2026.02 | 0.497 | 9.6 | 18.2 | |
| WeSAM+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%, Fine-tuned on source and target=true2026.02 | 0.449 | 7.3 | 17.7 | |
| SAM+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.39 | 12.6 | 15.4 | |
| SAM-Med2DSegmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.279 | 13 | 3.3 | |
| Med-SAM AdapterSegmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%, Fine-tuned on source=true2026.02 | 0.278 | 12.9 | 7.1 | |
| SAMSegmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.19 | 0.9 | 0.3 |