Road Extraction by Deep Residual U-Net

Benchmark Model Rank Results
lesion-segmentation-on-anatomical-tracings-ofResUNet#2IoU: 0.3549Precision: 0.5941Recall: 0.4537Dice: 0.4702
retinal-vessel-segmentation-on-chase-db1Residual U-Net#11AUC: 0.9779F1 score: 0.7800
retinal-vessel-segmentation-on-driveResidual U-Net#12AUC: 0.9779F1 score: 0.8149
retinal-vessel-segmentation-on-rose-1-dvcResU-Net#3Dice Score: 65.67
retinal-vessel-segmentation-on-rose-1-svcResU-Net#4Dice Score: 74.61
retinal-vessel-segmentation-on-rose-1-svc-dvcResU-Net#3Dice Score: 74.61
retinal-vessel-segmentation-on-rose-2ResU-Net#4Dice Score: 67.25
retinal-vessel-segmentation-on-stareResidual U-Net#7F1 score: 0.8388
semantic-segmentation-on-bjroadRes-UNet#7IoU: 54.24