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Our patch-based deep learning segmentation obtains robust results when applied directly to retinal images for DRIVE and STARE dataset, first row represents the raw images with ids (#01, #11, #14, #0005, #0162, #0255) , second row represents the ground truth and our robust prediction is shown in the third row. red are missing (false negative) and blue are extra regions (false positive) compared to ground truth
