Fig. 1From: Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CTConvolutional neural network, DenseVNet, used in this study. It consisted of 5 key features, including batch-wise spatial dropout, dense feature stacks, V-network downsampling and upsampling, dilated convolution, and an explicit spatial priorBack to article page