CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Benchmark Model Rank Results
retinal-vessel-segmentation-on-driveCE-Net#13AUC: 0.9779Accuracy: 0.9545
retinal-vessel-segmentation-on-rose-1-dvcCE-Net#5Dice Score: 57.83
retinal-vessel-segmentation-on-rose-1-svcCE-Net#3Dice Score: 75.11
retinal-vessel-segmentation-on-rose-1-svc-dvcCE-Net#4Dice Score: 73.00
retinal-vessel-segmentation-on-rose-2CE-Net#3Dice Score: 70.66