Diagnosis of multiple sclerosis using optical coherence tomography supported by artificial intelligence

Author:

Ortiz Miguel,Mallen Victor,Boquete Luciano,Sánchez-Morla Eva M.,Cordón Beatriz,Vilades Elisa,Dongil-Moreno Francisco J.,Miguel-Jiménez Juan M.,Garcia-Martin ElenaORCID

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology,General Medicine

Reference23 articles.

1. Optical coherence tomography as a biomarker of neurodegeneration in multiple sclerosis: a review;Alonso;Mult. Scler. Relat. Disord.,2018

2. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. Big Data,2021

3. Novel software strategy for glaucoma diagnosis: asymmetry analysis of retinal thickness;Asrani;Arch. Ophthalmol.,2011

4. Effect of image quality on tissue thickness measurements obtained with spectral domain-optical coherence tomography;Balasubramanian;Opt. Express,2009

5. Inner nuclear layer and olfactory threshold are interlinked and reflect inflammatory activity in multiple sclerosis;Bsteh;Mult. Scler. J. Exp. Transl. Clin.,2020

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