Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression-Reference-Cited by-同舟云学术

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

Published:2018-06-01 Issue:7 Volume:59 Page:2748
ISSN:1552-5783
Container-title:Investigative Opthalmology & Visual Science
language:en
Short-container-title:Invest. Ophthalmol. Vis. Sci.

Author:

Christopher Mark¹,Belghith Akram¹,Weinreb Robert N.¹,Bowd Christopher¹,Goldbaum Michael H.¹,Saunders Luke J.¹,Medeiros Felipe A.²,Zangwill Linda M.¹

Affiliation:

1. Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, United States

2. Duke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, United States

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

General Medicine

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