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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Detalles Bibliográficos
Autores principales: Pérez del Palomar, Amaya, Cegoñino, José, Montolío, Alberto, Orduna, Elvira, Vilades, Elisa, Sebastián, Berta, Pablo, Luis E., Garcia-Martin, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502323/
https://www.ncbi.nlm.nih.gov/pubmed/31059539
http://dx.doi.org/10.1371/journal.pone.0216410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502323/
https://www.ncbi.nlm.nih.gov/pubmed/31059539
http://dx.doi.org/10.1371/journal.pone.0216410

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