Swept source optical coherence tomography to early detect multiple sclerosis disease. The use of machine learning techniques

OBJECTIVE: To compare axonal loss in ganglion cells detected with swept-source optical coherence tomography (SS-OCT) in eyes of patients with multiple sclerosis (MS) versus healthy controls using different machine learning techniques. To analyze the capability of machine learning techniques to impro...

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Bibliografski detalji
Izdano u:PLoS One
Glavni autori: Pérez del Palomar, Amaya, Cegoñino, José, Montolío, Alberto, Orduna, Elvira, Vilades, Elisa, Sebastián, Berta, Pablo, Luis E., Garcia-Martin, Elena
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2019
Teme:
Research Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6502323/
https://ncbi.nlm.nih.gov/pubmed/31059539
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0216410
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