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Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest
Author(s) -
Christopher Bowd,
Akram Belghith,
Mark Christopher,
Michael H. Goldbaum,
Massimo A. Fazio,
Christopher A. Girkin,
Jeffrey M. Liebmann,
Carlos Gustavo De Moraes,
Robert N. Weinreb,
Linda M. Zangwill
Publication year - 2021
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.508
H-Index - 21
ISSN - 2164-2591
DOI - 10.1167/tvst.10.8.19
Subject(s) - glaucoma , optical coherence tomography , region of interest , ophthalmology , nerve fiber layer , medicine , retinal , optic disc , artificial intelligence , computer science , radiology

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