Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

BACKGROUND: Alzheimer’s disease (AD) is a progressive and irreversible brain disorder. Hippocampus is one of the involved regions and its atrophy is a widely used biomarker for AD diagnosis. We have recently developed DenseCNN, a lightweight 3D deep convolutional network model, for AD classification...

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Detalles Bibliográficos
Autores principales: Katabathula, Sreevani, Wang, Qinyong, Xu, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147046/
https://www.ncbi.nlm.nih.gov/pubmed/34030743
http://dx.doi.org/10.1186/s13195-021-00837-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147046/
https://www.ncbi.nlm.nih.gov/pubmed/34030743
http://dx.doi.org/10.1186/s13195-021-00837-0

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