Structural neuroimaging as clinical predictor: A review of machine learning applications

In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literature, with the aim of helping researchers improve th...

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Detalles Bibliográficos
Autores principales: Mateos-Pérez, José María, Dadar, Mahsa, Lacalle-Aurioles, María, Iturria-Medina, Yasser, Zeighami, Yashar, Evans, Alan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108077/
https://www.ncbi.nlm.nih.gov/pubmed/30167371
http://dx.doi.org/10.1016/j.nicl.2018.08.019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108077/
https://www.ncbi.nlm.nih.gov/pubmed/30167371
http://dx.doi.org/10.1016/j.nicl.2018.08.019

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