Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm

High-resolution three-dimensional magnetic resonance imaging (3D-MRI) is being increasingly used to delineate morphological changes underlying neuropsychiatric disorders. Unfortunately, artifacts frequently compromise the utility of 3D-MRI yielding irreproducible results, from both type I and type I...

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Detalles Bibliográficos
Publicado en:Front Neuroinform
Main Authors: Pizarro, Ricardo A., Cheng, Xi, Barnett, Alan, Lemaitre, Herve, Verchinski, Beth A., Goldman, Aaron L., Xiao, Ena, Luo, Qian, Berman, Karen F., Callicott, Joseph H., Weinberger, Daniel R., Mattay, Venkata S.
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2016
Assuntos:
Neuroscience
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5165041/
https://ncbi.nlm.nih.gov/pubmed/28066227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2016.00052
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