Fig. 5: Supervised Machine Learning Approach for Retinal Vessel Segmentation.

A supervised approach for retinal vessel segmentation from a retinal fundus image using Auto-encoder architecture. The architecture consists of multiple convolutions, down sampling, up sampling blocks and skip connections in between using concatenate layers.