Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data

Purpose: Through the last three decades, functional magnetic resonance imaging (fMRI) has provided immense quantities of information about the dynamics of the brain, functional brain mapping, and resting-state brain networks. Despite providing such rich functional information, fMRI is still not a co...

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Detalles Bibliográficos
Autores principales: Parmar, Harshit, Nutter, Brian, Long, Rodney, Antani, Sameer, Mitra, Sunanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Biomedical Applications in Molecular, Structural, and Functional Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355128/
https://www.ncbi.nlm.nih.gov/pubmed/37476352
http://dx.doi.org/10.1117/1.JMI.7.5.056001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355128/
https://www.ncbi.nlm.nih.gov/pubmed/37476352
http://dx.doi.org/10.1117/1.JMI.7.5.056001

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