Convolutional neural network (CNN)-based denoisers have been successful in low-dose CT (LDCT) denoising tasks. However, image blurring the denoised images remains a problem, and it is mainly caused by pixel-level losses during training process. To reduce blur, perceptual loss with ImageNet-pretrained VGG widely used, improves quality preserving original structural details images. statistics of ...