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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...
Autores principales: | Mateos-Pérez, José María, Dadar, Mahsa, Lacalle-Aurioles, María, Iturria-Medina, Yasser, Zeighami, Yashar, Evans, Alan C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
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 |
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