Local Brain-Age: A U-Net Model

We propose a new framework for estimating neuroimaging-derived “brain-age” at a local level within the brain, using deep learning. The local approach, contrary to existing global methods, provides spatial information on anatomical patterns of brain ageing. We trained a U-Net model using brain MRI sc...

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Detalles Bibliográficos
Autores principales: Popescu, Sebastian G., Glocker, Ben, Sharp, David J., Cole, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710767/
https://www.ncbi.nlm.nih.gov/pubmed/34966266
http://dx.doi.org/10.3389/fnagi.2021.761954

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710767/
https://www.ncbi.nlm.nih.gov/pubmed/34966266
http://dx.doi.org/10.3389/fnagi.2021.761954

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