Early Diagnosis of Multiple Sclerosis Using Swept-Source Optical Coherence Tomography and Convolutional Neural Networks Trained with Data Augmentation

Background: The aim of this paper is to implement a system to facilitate the diagnosis of multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network (CNN) to classify images captured with swept-source optical coherence tomography (SS-OCT). Methods: SS-OCT images f...

Descripción completa

Detalles Bibliográficos
Autores principales: López-Dorado, Almudena, Ortiz, Miguel, Satue, María, Rodrigo, María J., Barea, Rafael, Sánchez-Morla, Eva M., Cavaliere, Carlo, Rodríguez-Ascariz, José M., Orduna-Hospital, Elvira, Boquete, Luciano, Garcia-Martin, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747672/
https://www.ncbi.nlm.nih.gov/pubmed/35009710
http://dx.doi.org/10.3390/s22010167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747672/
https://www.ncbi.nlm.nih.gov/pubmed/35009710
http://dx.doi.org/10.3390/s22010167

Ejemplares similares