Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients

Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients

Background: Multiple sclerosis (MS) is a neurologic disease of the central nervous system which affects almost three million people worldwide. MS is characterized by a demyelination process that leads to brain lesions, allowing these affected areas to be visualized with magnetic resonance imaging (M...

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Bibliographic Details
Main Authors: Marcela de Oliveira, Marina Piacenti-Silva, Fernando Coronetti Gomes da Rocha, Jorge Manuel Santos, Jaime dos Santos Cardoso, Paulo Noronha Lisboa-Filho
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Diagnostics
Subjects:
multiple sclerosis
MRI
machine learning
brain extraction
lesion volume quantification
Online Access:https://www.mdpi.com/2075-4418/12/2/230

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https://www.mdpi.com/2075-4418/12/2/230

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