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

Background: Abnormal 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.

Objective: Our objective is to use the brain age prediction model to explore the law of brain development in children with CP.

Methods: A two-dimensional convolutional neural networks brain age prediction model was designed without segmenting the white and gray matter.