Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019

Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed...

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Detalles Bibliográficos
Autores principales: Lombardi, Angela, Monaco, Alfonso, Donvito, Giacinto, Amoroso, Nicola, Bellotti, Roberto, Tangaro, Sabina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854554/
https://www.ncbi.nlm.nih.gov/pubmed/33551880
http://dx.doi.org/10.3389/fpsyt.2020.619629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854554/
https://www.ncbi.nlm.nih.gov/pubmed/33551880
http://dx.doi.org/10.3389/fpsyt.2020.619629

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