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

Sourya Sengupta; Amitojdeep Singh; Henry A Leopold; Tanmay Gulati; Vasudevan Lakshminarayanan

doi:10.1016/j.artmed.2019.101758

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

Artif Intell Med. 2020 Jan:102:101758. doi: 10.1016/j.artmed.2019.101758. Epub 2019 Nov 22.

Authors

Sourya Sengupta¹, Amitojdeep Singh², Henry A Leopold², Tanmay Gulati³, Vasudevan Lakshminarayanan²

Affiliations

¹ Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Ontario, Canada; Department of Systems Design Engineering, University of Waterloo, Ontario, Canada. Electronic address: s28sengu@uwaterloo.ca.
² Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Ontario, Canada; Department of Systems Design Engineering, University of Waterloo, Ontario, Canada.
³ Department of Computer Science and Engineering, Manipal Institute of Technology, India.

PMID: 31980096
DOI: 10.1016/j.artmed.2019.101758

Abstract

An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. 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.

Keywords: Classification; Deep learning; Fundus image datasets; Fundus photos; Image segmentation; Ophthalmology; Retina.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Deep Learning*
Diagnostic Techniques, Ophthalmological*
Eye / diagnostic imaging*
Eye Diseases / diagnosis*
Eye Diseases / diagnostic imaging*
Fundus Oculi*
Humans
Image Interpretation, Computer-Assisted / methods*
Ophthalmology / methods*