Retinal Vessel Segmentation on STARE (test)
85.54TPRLiskowski et al.
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Liskowski et al.Type=DNN, Year=20162018.11 | 85.54 | — | 98.62 | 97.29 | 0.9928 | — | — | |
| Alom et al.Type=DNN, Year=20182018.11 | 82.98 | — | 98.62 | 97.12 | 0.9914 | — | — | |
| Li et al.Type=DNN, Year=20152018.11 | 77.26 | — | 98.44 | 96.28 | 0.9879 | — | — | |
| Roychowdhury et al.Type=STA, Year=20172018.11 | 77.2 | — | 97.3 | 95.1 | 0.969 | — | — | |
| Azzopardi et al.Type=STA, Year=20152018.11 | 77.16 | — | 97.01 | 94.97 | 0.9563 | — | — | |
| IterNetFoV=Without Masks, Year=20192019.12 | 77.15 | — | 99.19 | 97.82 | 0.9915 | 89.77 | 81.46 | |
| IterNetFoV=With Masks, Year=20192019.12 | 77.15 | — | 98.86 | 97.01 | 0.9881 | 89.77 | 81.46 | |
| DUNetType=DNN, Year=20182018.11 | 74.28 | 88.56 | 99.2 | 97.29 | 0.9868 | — | — | |
| Fu et al.Type=DNN, Year=20162018.11 | 74.12 | — | — | 95.85 | — | — | — | |
| Chen et al.Type=DNN, Year=20172018.11 | 72.95 | — | 96.96 | 94.49 | 0.9557 | — | — | |
| DUNetFoV=Without Masks, Year=20192019.12 | 68.1 | — | 99.31 | 97.36 | 0.9823 | 74.79 | 76.29 | |
| DUNetFoV=With Masks, Year=20192019.12 | 68.1 | — | 99.03 | 96.39 | 0.9758 | 74.79 | 76.29 | |
| DenseBlock-UNetFoV=Without Masks, Year=20182019.12 | 68.07 | — | 99.4 | 97.45 | 0.9801 | 72.29 | 76.91 | |
| DenseBlock-UNetFoV=With Masks, Year=20182019.12 | 68.07 | — | 99.16 | 96.51 | 0.9755 | 72.29 | 76.91 | |
| UNetFoV=Without Masks, Year=20182019.12 | 66.81 | — | 99.39 | 97.36 | 0.9779 | 71.48 | 75.94 | |
| UNetFoV=With Masks, Year=20182019.12 | 66.81 | — | 99.15 | 96.39 | 0.971 | 71.48 | 75.95 |