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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Detalles Bibliográficos
Autores principales:	Thomas D. Kocar, Anna Behler, Albert C. Ludolph, Hans-Peter Müller, Jan Kassubek
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	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
Acceso en línea:	https://doaj.org/article/713002b89eb44a98a3eb1916bbc26b81
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Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept

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