Medical Lesion Segmentation on Breast Lesion
85.49DiceTP-Seg-Unified
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 85.49 | 85.66 | |
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 85.06 | 85.11 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 84.92 | 87.08 | |
| M2SNetBackbone=ConvNeXt-B2023.03 | 84.4 | 87 | |
| SpiderBackbone=ConvNeXt-B2023.03 | 83.8 | 86.6 | |
| MaskSAMBackbone=ViT-B2023.03 | 83.5 | 85.1 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 83.39 | 83.36 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 83.06 | 85.56 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 82.79 | 83.16 | |
| SegMambaBackbone=Customized Design2023.03 | 82.7 | 84.8 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 82.31 | 84.58 | |
| H-vmunetBackbone=Customized Design2023.03 | 81.8 | 84 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 81.16 | 84.8 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 78.87 | 83.87 | |
| MedSAM-2Backbone=Hiera-L2023.03 | 78.7 | 80.2 | |
| UniverSegBackbone=ResNet-1012023.03 | 77.5 | 60 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 75.67 | 80.62 | |
| CMU-NetPublication=ISBI’23, Training Protocol=One model for one task2026.04 | 54.52 | 83.02 | |
| SAM 2Backbone=Hiera-L2023.03 | 53.9 | 71.2 | |
| AAU-NetPublication=TMI’22, Training Protocol=One model for one task2026.04 | 47.45 | 65.15 | |
| SegGPTBackbone=ViT-L2023.03 | 33.6 | 60.3 |