Coronary Vessel Segmentation on in-house dataset n=140 (test)
67.15IoUARIADNE
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ARIADNE2026.03 | 67.15 | 98.32 | 81.33 | 80.44 | 83.78 | 68.83 | 80.34 | |
| FlowVM-Net2026.03 | 66.78 | 98.28 | 80.95 | 79.89 | 82.98 | 68.23 | 80.05 | |
| SVSNet2026.03 | 66.12 | 98.22 | 80.67 | 79.45 | 82.45 | 67.56 | 79.6 | |
| H-vmunet2026.03 | 65.89 | 98.2 | 80.34 | 79.12 | 82.12 | 67.12 | 79.45 | |
| FR-Unet2026.03 | 65.34 | 98.15 | 79.98 | 78.65 | 81.45 | 66.56 | 79.05 | |
| UNet++2026.03 | 64.56 | 98.05 | 79.12 | 77.98 | 80.56 | 65.45 | 78.45 | |
| UNet2026.03 | 63.21 | 97.98 | 78.23 | 77.12 | 79.87 | 64.78 | 77.34 | |
| MedSAM32026.03 | 56.12 | 96.5 | 70.15 | 73.2 | 71.05 | 58.21 | 71.89 |