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

Amaya Pérez Del PalomarJosé CegoñinoAlberto MontolíoElvira Orduna-HospitalElisa ViladesBerta SebastiánLuis E PabloElena Garcia-Martin

Published in: PloS one (2019)

Measurements of RNFL thickness obtained with SS-OCT have an excellent ability to differentiate between healthy controls and patients with MS. Thus, the use of machine learning techniques based on these measures can be a reliable tool to help in MS diagnosis.

Keyphrases

optical coherence tomography
multiple sclerosis
machine learning
diabetic retinopathy
mass spectrometry
artificial intelligence
ms ms
big data
white matter
optic nerve
deep learning