Generative Adversarial Networks (GANs) in the Field of Head and Neck …
2024年6月18日 · Eight applications of GANs in the head and neck region were summarized, including the classification of craniosynostosis, recognition of the presence of chronic sinusitis, diagnosis of radicular cysts in panoramic X-rays, segmentation of craniomaxillofacial bones, reconstruction of bone defects, removal of metal artifacts from CT scans ...
高呼「GAN 万岁！」的 R3GAN 做了哪些科研改进？ - 知乎
DCGAN 是一个生成器基于卷积神经网络 (CNN) 的 GAN。 它的特点是对低通道特征逐渐上采样并逐渐减少通道数，直至生成目标大小的三通道图像。 StylGAN 是一个训练较稳定且适合做图像编辑的 GAN。 和传统 GAN 生成器相比，StyleGAN 从一条「旁路」输入被映射网络 (Mapping Network) 预处理过的噪声 z，此处信息注入的方式是风格转换 (Style Transfer) 中的 AdaIN 操作。 由于输入噪声的方式变了，原来的低分辨率特征图输入被换成了一个常量。 相比其他生成模 …
Generative Adversarial Network–based Noncontrast CT …
2023年11月14日 · In this work, we developed a generative adversarial network (GAN)–based imaging model for the neck and abdomen that generates CT angiography (CTA)–like images from noncontrast CT images.
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation ...
2021年7月1日 · In this work, we proposed a Multi-Cycle GAN method for unpair head and neck MRI-to-CT synthesis. The experiment results in Table 1 demonstrate our superior performance.
Deep learning‐based auto segmentation using generative …
2022年3月9日 · Adaptive radiotherapy requires auto‐segmentation in patients with head and neck (HN) cancer. In the current study, we propose an auto‐segmentation model using a generative adversarial network (GAN) on magnetic resonance (MR) images of HN cancer for MR‐guided radiotherapy (MRgRT).
GAN（生成对抗网络）的系统全面介绍（醍醐灌顶）-CSDN博客
2024年10月20日 · GAN的全称是Generative adversarial network，中文翻译过来就是生成对抗网络。 生成对抗网络其实是两个网络的组合：生成网络 (Generator)负责生成模拟数据；判别网络 (Discriminator)负责判断输入的数据是真实的还是生成的。 生成网络要不断优化自己生成的数据让判别网络判断不出来，判别网络也要优化自己让自己判断得更准确。 二者关系形成对抗，因此叫对抗网络。 这里的网络指的是 神经网络，这是因为GAN是基于神经网络模型（以人类神经网络 …
Channel-wise attention enhanced and structural similarity …
2024年3月14日 · Recently, increasing interest focused on generative adversarial network (GAN) and its variants, the GAN-based architecture has been demonstrated to synthesize high-quality sCT images with less blurriness compared with the CNN approaches [38, 39, 40, 41, 42, 43, 44].
CT synthesis from MRI using multi-cycle GAN for head-and-neck …
This paper proposes a novel framework named Multi-Cycle GAN, which uses the Pseudo-Cycle Consistent module to control the consistency of generation and the domain control module to provide additional identical constraints. Besides, we design a new generator named Z-Net to improve the accuracy of anatomy details.
(PDF) Deep learning‐based auto segmentation using generative ...
2022年3月9日 · Purpose: Adaptive radiotherapy requires auto-segmentation in patients with head and neck (HN) cancer. In the current study, we propose an auto-segmentation model using a generative adversarial...
Geometric and dosimetric impact of 3D generative adversarial …
2021年6月6日 · Background: We investigated the geometric and dosimetric impact of three-dimensional (3D) generative adversarial network (GAN)-based metal artifact reduction (MAR) algorithms on volumetric-modulated arc therapy (VMAT) and intensity-modulated proton therapy (IMPT) for the head and neck region, based on artifact-free computed tomography (CT ...