Medical Image Segmentation on AMOS MRI
0.8536Dice CoefficientUniSeg
Evaluation Results
| Method | Links | |
|---|---|---|
| UniSegModel Category=Universal Model, Evaluation Protocol=Semantic2025.09 | 0.8536 | |
| HermesModel Category=Universal Model, Evaluation Protocol=Semantic2025.09 | 0.8465 | |
| K-PrismModel Category=Universal Model, Evaluation Protocol=Semantic2025.09 | 0.8439 | |
| Clip-drivenModel Category=Universal Model, Evaluation Protocol=Semantic2025.09 | 0.832 | |
| SegMoTEinteraction_type=bounding-box, trainable_params=17M, decoder_status=unfrozen2026.02 | 0.8027 | |
| IMISinteraction_type=bounding-box2026.02 | 0.7972 | |
| K-PrismEvaluation Protocol=In-context, Inference Protocol=one-shot2025.09 | 0.7821 | |
| IrisEvaluation Protocol=In-context, Inference Protocol=one-shot2025.09 | 0.7659 | |
| nnU-NetModel Category=Task-specific Model, Evaluation Protocol=Semantic2025.09 | 0.7657 | |
| SAM-Med2Dinteraction_type=bounding-box2026.02 | 0.7655 | |
| SAM2interaction_type=bounding-box2026.02 | 0.7346 | |
| SAMinteraction_type=bounding-box2026.02 | 0.7263 | |
| TycheEvaluation Protocol=In-context, Inference Protocol=one-shot2025.09 | 0.5952 | |
| UniverSegEvaluation Protocol=In-context, Inference Protocol=one-shot2025.09 | 0.5902 | |
| MultiverSegEvaluation Protocol=In-context, Inference Protocol=one-shot2025.09 | 0.5813 |