Mitochondria Segmentation on Human → Rat
0.951DicePrefer-DAS (LPO)+
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Prefer-DAS (LPO)+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%, Testing Interaction=Full center points2026.02 | 0.951 | 0.867 | 0.816 | |
| Prefer-DAS (SLPO)+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%, Testing Interaction=Full center points2026.02 | 0.949 | 0.866 | 0.811 | |
| Prefer-DAS (LPO)Segmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.946 | 0.859 | 0.796 | |
| Fully-Supervised ModelTypes=Oracle2026.02 | 0.946 | 0.864 | 0.792 | |
| Prefer-DAS (SLPO)Segmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.943 | 0.855 | 0.791 | |
| Prefer-DAS (UPO)+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%, Testing Interaction=Full center points2026.02 | 0.943 | 0.854 | 0.792 | |
| Prefer-DAS (UPO)Segmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.937 | 0.844 | 0.775 | |
| Prompt-DAS+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%, Testing Interaction=Full center points2026.02 | 0.935 | 0.844 | 0.742 | |
| Prompt-DASSegmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.933 | 0.836 | 0.745 | |
| Prefer-DAS (UPO)Segmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.931 | 0.835 | 0.761 | |
| Prompt-DAS (UDA)Segmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.924 | 0.822 | 0.743 | |
| WDA-NetSegmentation Mode=Automatic, Adaptation Type=WDA, Training Point Prompts=15%2026.02 | 0.917 | 0.807 | 0.74 | |
| WeSAM+Segmentation Mode=Interactive, Adaptation Type=WDA, Training Point Prompts=15%, Fine-tuned on source and target=true, Testing Interaction=Full center points2026.02 | 0.899 | 0.796 | 0.739 | |
| Prefer-DAS (Source)+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%, Testing Interaction=Full center points2026.02 | 0.898 | 0.788 | 0.741 | |
| CAFASegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.895 | 0.776 | 0.689 | |
| DAMT-NetSegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.887 | 0.763 | 0.618 | |
| Prefer-DAS (Source)Segmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.886 | 0.767 | 0.687 | |
| DA-ISCSegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.886 | 0.757 | 0.658 | |
| WDA-Net (UDA)Segmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.882 | 0.745 | 0.59 | |
| UALRSegmentation Mode=Automatic, Adaptation Type=UDA, Training Point Prompts=0%2026.02 | 0.863 | 0.716 | 0.537 | |
| Med-SAM Adapter+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%, Fine-tuned on source=true, Testing Interaction=Full center points2026.02 | 0.862 | 0.702 | 0.599 | |
| Med-SAM AdapterSegmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%, Fine-tuned on source=true2026.02 | 0.755 | 0.566 | 0.275 | |
| SAM-Med2D+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%, Testing Interaction=Full center points2026.02 | 0.726 | 0.556 | 0.397 | |
| SAM+Segmentation Mode=Interactive, Adaptation Type=NoAdapt, Training Point Prompts=0%, Testing Interaction=Full center points2026.02 | 0.406 | 0.012 | 0.262 | |
| SAMSegmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.32 | 0.143 | 0.3 | |
| SAM-Med2DSegmentation Mode=Automatic, Adaptation Type=NoAdapt, Training Point Prompts=0%2026.02 | 0.159 | — | — |