… network, SRDenseNet)[83],生成对抗超分辨网络 (Super-… generative adversarial network,
SRGAN)[84],记忆网络(Memory network, MemNet)[85],残差密集网络(Residual dense network, …

… : Single image super-resolution is widely used in security monitoring, satellite remote sensing
imagery, and medical image processing. It aims at restoring a high-resolution image from …

… (Patch Generative Adversarial Network) was used to distinguish between the repaired
sinograms from the real sinograms, thereby further improving the network performance. After the …

… of generative adversarial networks (GAN) and its improvement in several aspects were
introduced briefly. The research progresses of medical image … and 3D medical image processing. …

… Aiming to the shortcomings of existed methods, this paper proposes the use of conditional
deep convolutional generative adversarial networks to segment the retinal vessels. We mainly …

… In recent years, Generative Adversarial Network (GAN) has become a new research
hotspot in Low-Dose Computed Tomography (LDCT) artifact suppression because of its …

… model of generative adversarial networks (GAN) were introduced. The application of GAN
were … reconstruction, image segmentation, image classification, target detection and etc. The …

… 形成 生成对抗网络(Generative Adversarial Networks,GANs)[14… 网络(EnergyBased Generative
Adversarial Network,EBGAN)[… neural networks for volumetric medical image segmentation[…

… in many domains into medical image processing so that its effectiveness and efficiency can
… The applications of generative adversarial networks (GAN) in medical image processing are …