Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation

Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation

BackgroundAbnormal brain development is common in children with cerebral palsy (CP), but there are no recent reports on the actual brain age of children with CP.ObjectiveOur objective is to use the brain age prediction model to explore the law of brain development in children with CP.MethodsA two-di...

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Bibliographic Details
Main Authors: Chun-yu Zhang, Bao-feng Yan, Nurehemaiti Mutalifu, Ya-wei Fu, Jiang Shao, Jun-jie Wu, Qi Guan, Song-hai Biedelehan, Ling-xiao Tong, Xin-ping Luan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Neurology
Subjects:
cerebral palsy
brain age
deep learning
convolutional neural networks
brain age gap estimation
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.1040087/full

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https://www.frontiersin.org/articles/10.3389/fneur.2022.1040087/full

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