Retinal Vessel Segmentation On Rose 2
Métriques
Dice Score
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Dice Score | Paper Title | Repository |
|---|---|---|---|
| CE-Net | 70.66 | CE-Net: Context Encoder Network for 2D Medical Image Segmentation | - |
| OCTA-Net | 70.77 | ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model | - |
| OCTAve: OCTA-Net | 71.18 | OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation | - |
| U-Net | 65.64 | U-Net: Convolutional Networks for Biomedical Image Segmentation | - |
| ResU-Net | 67.25 | Road Extraction by Deep Residual U-Net | - |
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