Wavelet Features of the Thickness Map of Retinal Ganglion Cell-Inner Plexiform Layer Best Discriminate Prior Optic Neuritis in Patients With Multiple Sclerosis

Wavelet Features of the Thickness Map of Retinal Ganglion Cell-Inner Plexiform Layer Best Discriminate Prior Optic Neuritis in Patients With Multiple Sclerosis

The goal of this study was to analyze wavelet features of topographic thickness maps of the retinal ganglion cell-inner plexiform layer (GCIPL) and evaluate their discrimination ability in patients with multiple sclerosis (MS) and a history of optic neuritis (ON). Twenty-nine patients with relapsing...

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Bibliographic Details
Main Authors: Juan Zhang, Jianhua Wang, Chen Wang, Silvia Delgado, Jeffrey Hernandez, Huiling Hu, Xiaodong Cai, Hong Jiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Machine learning
retinal ganglion cell-inner plexiform layer
multiple sclerosis
discrete wavelet transform
thickness map
logistic regression
Online Access:https://ieeexplore.ieee.org/document/9273013/

Internet

https://ieeexplore.ieee.org/document/9273013/

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