Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning

Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning

Predicting brain age of children accurately and quantitatively can give help in brain development analysis and brain disease diagnosis. Traditional methods to estimate brain age based on 3D magnetic resonance (MR), T1 weighted imaging (T1WI), and diffusion tensor imaging (DTI) need complex preproces...

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Bibliographic Details
Main Authors: Jin Hong, Zhangzhi Feng, Shui-Hua Wang, Andrew Peet, Yu-Dong Zhang, Yu Sun, Ming Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Neurology
Subjects:
magnetic resonance imaging
deep learning
brain age
convolutional neural network
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.584682/full

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https://www.frontiersin.org/articles/10.3389/fneur.2020.584682/full

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