Ophthalmic diagnosis using deep learning with fundus images – A critical review

We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation of optic disk, optic cup, blood vessels as well as detection of lesions are reviewed. Recent deep learning models for classification of diseases such as age-related macular degeneration, glaucoma, and diabetic retinopathy are also discussed. Important critical insights and future research directions are given.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research