Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points

Machine learning classifiers were employed to detect glaucomatous progression using longitudinal series of structural data extracted from retinal nerve fiber layer thickness measurements and visual functional data recorded from standard automated perimetry tests. Using the collected data, a longitud...

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Main Authors: Siamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Tzyy‐Ping Jung, Robert N. Weinreb, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd
Format: Artigo
Language:English
Published: 2014
Online Access:https://doi.org/10.1109/tbme.2013.2295605
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https://doi.org/10.1109/tbme.2013.2295605

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