Medical Lesion Segmentation on Lung Infection
86.47Dice ScoreTP-Seg-Unified
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 86.47 | 88.17 | |
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 85.91 | 87.03 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 82.65 | 83.06 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 82.36 | 87.21 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 82.34 | 83.57 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 79.89 | 84.65 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 75.21 | 81.89 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 73.85 | 82.07 | |
| M2SNetBackbone=ConvNeXt-B2023.03 | 70.2 | 81.8 | |
| MaskSAMBackbone=ViT-B2023.03 | 69.8 | 81 | |
| SpiderBackbone=ConvNeXt-B2023.03 | 69.6 | 81.3 | |
| H-vmunetBackbone=Customized Design2023.03 | 68.4 | 80.9 | |
| SegMambaBackbone=Customized Design2023.03 | 68 | 80.2 | |
| UniverSegBackbone=ResNet-1012023.03 | 67.3 | 36.8 | |
| MedSAM-2Backbone=Hiera-L2023.03 | 51.2 | 70.4 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 50.1 | 65.91 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 43.89 | 65.33 | |
| Inf-NetPublication=TMI’23, Training Protocol=One model for one task2026.04 | 43.24 | 52.85 | |
| DECOR-NetPublication=ISBI’23, Training Protocol=One model for one task2026.04 | 40.25 | 69.49 | |
| SAM 2Backbone=Hiera-L2023.03 | 38.2 | 65.5 | |
| SegGPTBackbone=ViT-L2023.03 | 13.1 | 55.3 |