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

2021; Multidisciplinary Digital Publishing Institute; Volume: 22; Issue: 1 Linguagem: Inglês

10.3390/s22010167

1424-8220

Almudena López-Dorado, Miguel Ortiz del Castillo, María Satué, María Jesús Rodrigo, Rafael Barea, Eva María Sánchez‐Morla, Carlo Cavaliere, J.M. Rodríguez-Ascariz, Elvira Orduna‐Hospital, Luciano Boquete, Elena García‐Martín,

Cell Image Analysis Techniques

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).