Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques

Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques

Short-term disability progression was predicted from a baseline evaluation in patients with multiple sclerosis (MS) using their three-dimensional T1-weighted (3DT1) magnetic resonance images (MRI). One-hundred-and-eighty-one subjects diagnosed with MS underwent 3T-MRI and were followed up for two to...

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Bibliographic Details
Main Authors: Alessandro Taloni, Francis Allen Farrelly, Giuseppe Pontillo, Nikolaos Petsas, Costanza Giannì, Serena Ruggieri, Maria Petracca, Arturo Brunetti, Carlo Pozzilli, Patrizia Pantano, Silvia Tommasin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:International Journal of Molecular Sciences
Subjects:
deep learning
disability
magnetic resonance imaging
multiple sclerosis
neuroimaging
Online Access:https://www.mdpi.com/1422-0067/23/18/10651

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https://www.mdpi.com/1422-0067/23/18/10651

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