Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge

Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge

Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the hea...

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Bibliographic Details
Main Authors: Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith, Han Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Psychiatry
Subjects:
predictive analysis
big data
deep learning
convolution neural network
brain age prediction
brain imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.627996/full

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https://www.frontiersin.org/articles/10.3389/fpsyt.2021.627996/full

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