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A convolution neural network (CNN) machine learning model adapted to the MR connectome. As a machine learning model, a six-layer CNN model with three convolution layers (each consisting of convolution, ReLU; Rectified Linear Unit and MaxPooling) and three fully connected layers (Affine with ReLU) was adapted. The specific elements of the layer were described on the right side of each layer.
