  An overview of the applications of deep learning in ophthalmic diagnosis
using retinal fundus images is presented. We also review various retinal image
datasets that can be used for deep learning purposes. Applications of deep
learning for segmentation of optic disk, blood vessels and retinal layer as
well as detection of lesions are reviewed. Recent deep learning models for
classification of diseases such as age-related macular degeneration,
glaucoma,diabetic macular edema and diabetic retinopathy are also reported.
