REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Orlando, J.; Fu, H.; Breda, J.; V. Keer, K.; R. Bathula, Deepti; Diaz-Pinto, A.; Fang, R.; Heng, P.; Kim, Jeyoung; Lee, Joonho; Lee, Joonseok; Li, Xiaoxiao; Liu, Peng; Lu, Shuai; Murugesan, Balamurali; Naranjo, V.; Samarth R. Phaye, Sai; M. Shankaranarayana, Sharath; Sikka, Apoorva; Son, Jaemin; van den Hengel, Anton; Wang, Shujun; Wu, Junyan; Wu, Zifeng; Xu, Guanghui; Xu, Yongli; Yin, Pengshuai; Li, Fei; Zhang, Xiulan; Xu, Yanwu; Bogunovic, H.

doi:10.1016/j.media.2019.101570

Public

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Published in Medical image analysis • Oct 8, 2019

Authors:

J. Orlando

H. Fu

J. Breda

Abstract

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modality to screen for retinal disorders. However, its application to glaucoma has been limited to the computation of a few re...

Subject

Computer Science

Medicine

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