Fig. 1From: Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomographyOverall architecture of the DnCNN with simulated-noise images. This network learns residual mapping for noise image. The main modules include convolutional filtering, ReLU and BNBack to article page