Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis

The diagnosis of multiple sclerosis (MS) is usually based on clinical symptoms and signs of damage to the central nervous system, which is assessed using magnetic resonance imaging. The correct interpretation of these data requires excellent clinical expertise and experience. Deep neural networks ai...

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Detalles Bibliográficos
Autores principales: Lopatina, Alina, Ropele, Stefan, Sibgatulin, Renat, Reichenbach, Jürgen R., Güllmar, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775402/
https://www.ncbi.nlm.nih.gov/pubmed/33390890
http://dx.doi.org/10.3389/fnins.2020.609468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775402/
https://www.ncbi.nlm.nih.gov/pubmed/33390890
http://dx.doi.org/10.3389/fnins.2020.609468

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