DAGAN: A GAN Network for Image Denoising of Medical Images Using Deep Learning of Residual Attention Structures
Guoxiang Tong,
Fangning Hu,
Hongjun Liu
Abstract:Medical images are susceptible to noise and artifacts, so denoising becomes an essential pre-processing technique for further medical image processing stages. We propose a medical image denoising method based on dual-attention mechanism for generative adversarial networks (GANs). The method is based on a GAN model with fused residual structure and introduces a global skip-layer connection structure to balance the learning ability of the shallow and deep networks. The generative network uses a residual module c… Show more
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