Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks

Automated methods for Alzheimer’s disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease. Machine learning, and more specifically deep neural networks, have been shown to have great efficacy in this domain. These algorithms often...

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Detalles Bibliográficos
Autores principales: Punjabi, Arjun, Martersteck, Adam, Wang, Yanran, Parrish, Todd B., Katsaggelos, Aggelos K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894831/
https://www.ncbi.nlm.nih.gov/pubmed/31805160
http://dx.doi.org/10.1371/journal.pone.0225759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894831/
https://www.ncbi.nlm.nih.gov/pubmed/31805160
http://dx.doi.org/10.1371/journal.pone.0225759

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