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

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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Bibliographic Details
Main Authors: Angela Lombardi, Alfonso Monaco, Giacinto Donvito, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Psychiatry
Subjects:
brain aging
deep neural networks
machine learning
MRI
FreeSurfer
morphological features
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2020.619629/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2020.619629/full

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