Retinal Vessel Segmentation On Rose 1 Dvc
Metrics
Dice Score
Results
Performance results of various models on this benchmark
Model Name | Dice Score | Paper Title | Repository |
|---|---|---|---|
| ResU-Net | 65.67 | Road Extraction by Deep Residual U-Net | |
| OCTAve: OCTA-Net | 62.55 | OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation | |
| U-Net | 66.05 | U-Net: Convolutional Networks for Biomedical Image Segmentation | |
| CE-Net | 57.83 | CE-Net: Context Encoder Network for 2D Medical Image Segmentation | |
| OCTA-Net | 70.74 | ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model |
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