A High-Powered Brain Age Prediction Model Based on Convolutional Neural Network
Published: Apr 1, 2020
Abstract
Predicting individual chronological age based on neuroimaging data is very promising and important for understanding the trajectory of normal brain development. In this work, we proposed a new model to predict brain age ranging from 12 to 30 years old, based on structural magnetic resonance imaging and a deep learning approach with reduced model complexity and computational cost. We found that this model can predict brain age accurately not only...
Paper Details
Title
A High-Powered Brain Age Prediction Model Based on Convolutional Neural Network
Published Date
Apr 1, 2020
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