Medical Image Segmentation on Breast Ultrasound
93.05DSC (%)RefLSM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RefLSM2025.12 | 93.05 | — | — | 97.87 | |
| ICTM2025.12 | 91.7 | — | — | 95.28 | |
| RESLS2025.12 | 88.21 | — | — | 92.48 | |
| C2PModel Type=Universal, Backbone=ConvNeXt-B, Resolution=384x3842026.03 | 81.7 | — | — | — | |
| PRS-Med2025.05 | 81.7 | 72.9 | — | — | |
| RWKV-UNetModel Type=Specialized2026.03 | 81.4 | — | — | — | |
| Swin-UMambaModel Type=Specialized2026.03 | 81.35 | — | — | — | |
| SpiderModel Type=Universal2026.03 | 81.11 | — | — | — | |
| MEGANetModel Type=Specialized2026.03 | 80.3 | — | — | — | |
| SR-ICLModel Type=Universal2026.03 | 80.1 | — | — | — | |
| LGMSNetModel Type=Specialized2026.03 | 79.8 | — | — | — | |
| AURA-NetModel Type=Specialized2026.03 | 79.34 | — | — | — | |
| UTANetModel Type=Specialized2026.03 | 78.78 | — | — | — | |
| Biomedparse2025.05 | 78.3 | 69.8 | — | — | |
| nnUNetV2Model Type=Specialized2026.03 | 78.2 | — | — | — | |
| ALF2025.12 | 76.2 | — | — | 84.79 | |
| TycheModel Type=Universal2026.03 | 73.39 | — | — | — | |
| UNetModel Type=Specialized2026.03 | 73 | — | — | — | |
| LISA-13BParameters=13B2025.05 | 70.5 | 68 | — | — | |
| Saliency Maps + SAMsupervision level=zero-shot2024.03 | 67.82 | 57.97 | 79.31 | — | |
| ResUNetsupervision level=full supervision2024.03 | 67.29 | 53.15 | 84.74 | — | |
| UniverSegModel Type=Universal2026.03 | 66.04 | — | — | — | |
| ResUNetsupervision level=weak supervision2024.03 | 58.62 | 41.68 | 81.44 | — | |
| Saliency Mapssupervision level=zero-shot2024.03 | 51.82 | 40.43 | 73.77 | — | |
| G-Dino + SAM-Med2D2025.05 | 51.5 | 44.1 | — | — | |
| LISA-7BParameters=7B2025.05 | 29.9 | 24.6 | — | — |