Artificial intelligence in glaucoma detection using color fundus photographs

Artificial intelligence in glaucoma detection using color fundus photographs

Purpose: To explore the potential of artificial intelligence (AI) for glaucoma detection using deep learning algorithm and evaluate its accuracy for image classification of glaucomatous optic neuropathy (GON) from color fundus photographs. Methods: A total of 1375 color fundus photographs, 735 norma...

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Bibliographic Details
Main Authors:	Zubin Sidhu, Tarannum Mansoori
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2024-01-01
Series:	Indian Journal of Ophthalmology
Subjects:	artificial intelligence fundus photographs glaucoma
Online Access:	http://www.ijo.in/article.asp?issn=0301-4738;year=2024;volume=72;issue=3;spage=408;epage=411;aulast=Sidhu

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