Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model

Figure 2

3D convolutional neural network multitask learning model. The processing steps through the layers allow the extraction of increasingly complex brain features. While batch normalization allows faster network convergence, dropout plays an important role in increasing generalization. Due to the mechanisms of multitask learning architecture, such as data amplification and attribute selection, the shared features allow faster convergence and better generalization.