Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept

Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept

The potential of multiparametric quantitative neuroimaging has been extensively discussed as a diagnostic tool in amyotrophic lateral sclerosis (ALS). In the past, the integration of multimodal, quantitative data into a useful diagnostic classifier was a major challenge. With recent advances in the...

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Bibliographic Details
Main Authors: Thomas D. Kocar, Anna Behler, Albert C. Ludolph, Hans-Peter Müller, Jan Kassubek
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
diffusion tensor imaging (DTI)
machine learning
support vector machine (SVM)
neural network
amyotrophic lateral sclerosis
motor neuron disease
Neurology. Diseases of the nervous system
RC346-429
Online Access:https://doaj.org/article/713002b89eb44a98a3eb1916bbc26b81
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https://doaj.org/article/713002b89eb44a98a3eb1916bbc26b81

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