TY - JOUR
T1 - Ophthalmic diagnosis using deep learning with fundus images – A critical review
AU - Sengupta, Sourya
AU - Singh, Amitojdeep
AU - Leopold, Henry A.
AU - Gulati, Tanmay
AU - Lakshminarayanan, Vasudevan
PY - 2020/1
Y1 - 2020/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85076241283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076241283&partnerID=8YFLogxK
U2 - 10.1016/j.artmed.2019.101758
DO - 10.1016/j.artmed.2019.101758
M3 - Review article
C2 - 31980096
AN - SCOPUS:85076241283
SN - 0933-3657
VL - 102
JO - Artificial Intelligence in Medicine
JF - Artificial Intelligence in Medicine
M1 - 101758
ER -
