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Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence.

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2018 Jun Others R Rajalakshmi, R Subashini, RM Anjana, V Mohan - Eye, 2018 - nature.com

Full Author : ['Rajalakshmi, Ramachandran', 'Subashini, Radhakrishnan', 'Anjana, Ranjit Mohan', 'Mohan, Viswanathan']
Journal Title : Eye (London, England)
Chapter : Section1
Journal Year : 2018
Cited by : 285.0

OBJECTIVES: To assess the role of artificial intelligence (AI)-based automated software for detection of diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus photography taken using a smartphone-based device and validate it against ophthalm..... Read More

Keywords : ["smartphonebase fundus photography use artificial intelligence", "automate diabetic retinopathy detection"]
PubMed Link : https://www.nature.com/articles/s41433-018-0064-9
Google Scholar Link : https://scholar.google.com/scholar?cites=13740530086593590941&as_sdt=5,31&sciodt=0,31&hl=en&num=20