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Machine Learning in the Detection of the Glaucomatous Disc and Visual Field.

Authors :
Smits, David J.
Elze, Tobias
Wang, Haobing
Pasquale, Louis R.
Source :
Seminars in Ophthalmology. 2019, Vol. 34 Issue 4, p232-242. 11p.
Publication Year :
2019

Abstract

Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients' long-term quality of life. The structure and function thresholds that alert to the diagnosis of glaucoma can be obtained entirely via digital means, and as such, screening is well suited to benefit from artificial intelligence and specifically machine learning. This paper reviews the concepts and current literature on the use of machine learning for detection of the glaucomatous disc and visual field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08820538
Volume :
34
Issue :
4
Database :
Academic Search Index
Journal :
Seminars in Ophthalmology
Publication Type :
Academic Journal
Accession number :
137541881
Full Text :
https://doi.org/10.1080/08820538.2019.1620801