Artery-vein segmentation in fundus images using a fully convolutional network.

•A novel application of fundus image segmentation based on deep learning that achieves A/V discrimination in an automated setting.•Ablation study leading to insights for semantic segmentation applied to fundus images.•Detailed benchmarking with previous work.•Development of A/V ground truth for High Resolution Fundus Image Database. A/V annotations and evaluation code are available at https://github.com/rubenhx/av-segmentation.