Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework

Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework

Brain age is an imaging-based biomarker with excellent feasibility for characterizing individual brain health and may serve as a single quantitative index for clinical and domain-specific usage. Brain age has been successfully estimated using extensive neuroimaging data from healthy participants wit...

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Bibliographic Details
Main Authors: Chen-Yuan Kuo, Tsung-Ming Tai, Pei-Lin Lee, Chiu-Wang Tseng, Chieh-Yu Chen, Liang-Kung Chen, Cheng-Kuang Lee, Kun-Hsien Chou, Simon See, Ching-Po Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Psychiatry
Subjects:
structural MRI
neuroimaging
brain age
machine learning
ensemble deep learning
regularization
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.626677/full

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https://www.frontiersin.org/articles/10.3389/fpsyt.2021.626677/full

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