Ischemic Lesion Segmentation on Ischemic Lesion Segmentation Sagittal (test)
70.81DICEVRXU-net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| VRXU-netModality=SAGGITAL2026.05 | 70.81 | 78.27 | 69.97 | |
| Proposed ModelModality=SAGGITAL, Training Data=Both Lesion and Normal Slices2026.05 | 70.64 | 73.54 | 66.01 | |
| CLCIModality=SAGGITAL2026.05 | 58.39 | 66.94 | 61.06 | |
| Seg-NetModality=SAGGITAL2026.05 | 57.68 | 65.86 | 64.19 | |
| U-NetModality=SAGGITAL2026.05 | 52.54 | 64.62 | 51.16 | |
| CLCIModality=SAGGITAL, Training Data=Both Lesion and Normal Slices2026.05 | 49.76 | 54.61 | 48.17 | |
| Seg-NetModality=SAGGITAL, Training Data=Both Lesion and Normal Slices2026.05 | 48.87 | 54.57 | 54.56 | |
| D-netModality=SAGGITAL2026.05 | 44.83 | 56.86 | 46.64 | |
| U-NetModality=SAGGITAL, Training Data=Both Lesion and Normal Slices2026.05 | 43.81 | 52.26 | 41.43 | |
| X-netModality=SAGGITAL2026.05 | 43.552 | 55.14 | 52.56 | |
| D-netModality=SAGGITAL, Training Data=Both Lesion and Normal Slices2026.05 | 41.04 | 50.76 | 37.35 | |
| X-netModality=SAGGITAL, Training Data=Both Lesion and Normal Slices2026.05 | 35.57 | 43.59 | 38.43 |