Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features

The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of optic neuritis and forty-eight healthy control subje...

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Detalles Bibliográficos
Autores principales: Cavaliere, Carlo, Vilades, Elisa, Alonso-Rodríguez, Mª C., Rodrigo, María Jesús, Pablo, Luis Emilio, Miguel, Juan Manuel, López-Guillén, Elena, Morla, Eva Mª Sánchez, Boquete, Luciano, Garcia-Martin, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928765/
https://www.ncbi.nlm.nih.gov/pubmed/31816925
http://dx.doi.org/10.3390/s19235323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928765/
https://www.ncbi.nlm.nih.gov/pubmed/31816925
http://dx.doi.org/10.3390/s19235323

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