A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images

Stroke causes behavioral deficits in multiple cognitive domains and there is a growing interest in predicting patient performance from neuroimaging data using machine learning techniques. Here, we investigated a deep learning approach based on convolutional neural networks (CNNs) for predicting the...

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Detalles Bibliográficos
Autores principales: Chauhan, Sucheta, Vig, Lovekesh, De Filippo De Grazia, Michele, Corbetta, Maurizio, Ahmad, Shandar, Zorzi, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684739/
https://www.ncbi.nlm.nih.gov/pubmed/31417388
http://dx.doi.org/10.3389/fninf.2019.00053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684739/
https://www.ncbi.nlm.nih.gov/pubmed/31417388
http://dx.doi.org/10.3389/fninf.2019.00053

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