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Special Issue April 2020

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

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Mark Christopher; Kenichi Nakahara; Christopher Bowd; James A. Proudfoot; Akram Belghith; Michael H. Goldbaum; Jasmin Rezapour; Robert N. Weinreb; Massimo A. Fazio; Christopher A. Girkin; Jeffrey M. Liebmann; Gustavo De Moraes; Hiroshi Murata; Kana Tokumo; Naoto Shibata; Yuri Fujino; Masato Matsuura; Yoshiaki Kiuchi; Masaki Tanito; Ryo Asaoka; Linda M. Zangwill
TAGS: datasets, deep learning, glaucoma, training, study population
Trans. Vis. Sci. Tech.. 2020; 9(2):27. doi: https://doi.org/10.1167/tvst.9.2.27

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2018

Construction of a deep learning algorithm to automatically diagnose glaucoma using a fundus photograph.

Ryo Asaoka; Naoto Shibata; Hiroshi Murata; Masaki Tanito

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3024. doi:

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