Characteristics of a Large, Labeled Data Set for the Training of Artificial Intelligence for Glaucoma Screening with Fundus Photographs

Characteristics of a Large, Labeled Data Set for the Training of Artificial Intelligence for Glaucoma Screening with Fundus Photographs

Purpose: Significant visual impairment due to glaucoma is largely caused by the disease being detected too late. Objective: To build a labeled data set for training artificial intelligence (AI) algorithms for glaucoma screening by fundus photography, to assess the accuracy of the graders, and to cha...

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Bibliographic Details
Main Authors:	Hans G. Lemij, MD, PhD, Coen de Vente, MSc, Clara I. Sánchez, PhD, Koen A. Vermeer, PhD
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Series:	Ophthalmology Science
Subjects:	Artificial intelligence Clinical features color fundus photographs glaucoma screening labeled data set
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666914523000325

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