Vessel Segmentation on IOSTAR (test)
88TP ScoreSrinidhi et al.
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Srinidhi et al.2026.05 | 88 | 84 | 89 | 0.94 | 73.54 | 0.7057 | |
| Srinidhi et al., 2017Learning Type=Supervised2026.05 | 88 | 84 | 89 | — | — | — | |
| ELEMENT2026.05 | 86.49 | 98.96 | 98.04 | 0.9959 | 86.35 | 0.8561 | |
| Rodrigues et al., 2020Learning Type=Supervised2026.05 | 86.49 | 98.96 | 98.04 | — | — | — | |
| Zhao et al.2026.05 | 79.15 | 97.92 | — | — | — | — | |
| Zhao-li et al., 2018Learning Type=Supervised2026.05 | 79.15 | 97.92 | — | — | — | — | |
| Sureshjani et al.2026.05 | 78.63 | 98.05 | 95.07 | 0.9615 | — | — | |
| Abbasi et al., 2015Learning Type=Supervised2026.05 | 78.63 | 98.05 | 95.07 | — | — | — | |
| Soares et al.2026.05 | 76.76 | 97.2 | 94.61 | 0.9603 | — | — | |
| Soares et al., 2006Learning Type=Supervised2026.05 | 76.76 | 97.2 | 94.61 | — | — | — | |
| Thresholded Frangi FilterLearning Type=Unsupervised, Status=Baseline2026.05 | 74.99 | 95.97 | 94.42 | — | — | — | |
| Connectivity Filter + Morphology ClosingLearning Type=Unsupervised, Status=Proposed2026.05 | 71.3 | 97.06 | 95.16 | — | — | — | |
| Connectivity FilterLearning Type=Unsupervised, Status=Proposed2026.05 | 70.14 | 97.57 | 95.54 | — | — | — | |
| Local-Sensitive Connectivity FilterLearning Type=Unsupervised, Status=Proposed2026.05 | 63.93 | 98.29 | 95.75 | — | — | — |