Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation
Abstract: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-dimensional convolutional neural networks brain age prediction model was designed without segmenting the white and gray matter. Training and testing brain age prediction model using magnetic resonance images of health… Show more
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