A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods

There is a widespread interest in applying pattern recognition methods to anatomical neuroimaging data, but so far, there has been relatively little investigation into how best to derive image features in order to make the most accurate predictions. In this work, a Gaussian Process machine learning...

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Detalles Bibliográficos
Autores principales: Monté-Rubio, Gemma C., Falcón, Carles, Pomarol-Clotet, Edith, Ashburner, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202442/
https://www.ncbi.nlm.nih.gov/pubmed/29864520
http://dx.doi.org/10.1016/j.neuroimage.2018.05.065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202442/
https://www.ncbi.nlm.nih.gov/pubmed/29864520
http://dx.doi.org/10.1016/j.neuroimage.2018.05.065

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