Segmentation on Clinical breast ultrasound dataset
90.75mDSCRad-VLSM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Rad-VLSMArchitecture Class=Dedicated Multi-Task Paradigms2026.05 | 90.75 | 83.51 | |
| AHF-UNet (CLSCA)Architecture Class=Standard & Attentional2026.05 | 82.43 | 70.12 | |
| AHF-UNet (UAFF)Architecture Class=Standard & Attentional2026.05 | 81.95 | 69.42 | |
| UnextArchitecture Class=Standard & Attentional2026.05 | 80.59 | 67.42 | |
| SwinUnetArchitecture Class=Standard & Attentional2026.05 | 80.53 | 68.92 | |
| CA-NetArchitecture Class=Standard & Attentional2026.05 | 79.77 | 66.34 | |
| U-Net-iAFFArchitecture Class=Standard & Attentional2026.05 | 79.75 | 66.32 | |
| U-Net++Architecture Class=Standard & Attentional2026.05 | 79.06 | 65.37 | |
| U-NetAFFArchitecture Class=Standard & Attentional2026.05 | 78.81 | 65.03 | |
| U-NetArchitecture Class=Standard & Attentional2026.05 | 78.5 | 64.61 | |
| Bruno et al.Architecture Class=Dedicated Multi-Task Paradigms2026.05 | 76.9 | 62.5 | |
| TransUnetArchitecture Class=Standard & Attentional2026.05 | 76.71 | 66.15 | |
| Mask R-CNNArchitecture Class=Dedicated Multi-Task Paradigms2026.05 | 76.2 | 69.1 | |
| DCSAUArchitecture Class=Standard & Attentional2026.05 | 74.03 | 58.77 | |
| SegNetArchitecture Class=Standard & Attentional2026.05 | 65.57 | 58.95 | |
| Multi-task TransformersArchitecture Class=Dedicated Multi-Task Paradigms2026.05 | 61.7 | 51.2 | |
| CUNetArchitecture Class=Standard & Attentional2026.05 | 59.78 | 52.78 |