A Patient-Independent CT Intensity Correction Method Using Generative Adversarial Networks (GAN) for Single X-Ray Based Tumor Localization

Wei R.; Zhou F.; Liu B.; Bai X.; Wu Q.

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A Patient-Independent CT Intensity Correction Method Using Generative Adversarial Networks (GAN) for Single X-Ray Based Tumor Localization

机译：一种独立于患者的CT强度校正方法，使用生成对抗基于网络（GAN）进行单X射线基肿瘤定位

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来源
《Medical Physics》 |2019年第6期|共1页
作者
Wei R.; Zhou F.; Liu B.; Bai X.; Wu Q.;
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作者单位

Beihang Univ Image Proc Ctr Beijing Peoples R China;

Beihang Univ Image Proc Ctr Beijing Peoples R China;

Beihang Univ Image Proc Ctr Beijing Peoples R China;

Beihang Univ Image Proc Ctr Beijing Peoples R China;

Duke Univ Med Ctr Durham NC USA;

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正文语种 eng
中图分类基础医学;
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入库时间 2022-08-19 17:15:34

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1. A Patient-Independent CT Intensity Correction Method Using Generative Adversarial Networks (GAN) for Single X-Ray Based Tumor Localization [J] . Wei R., Zhou F., Liu B., Medical Physics . 2019,第6期

机译：一种独立于患者的CT强度校正方法，使用生成对抗基于网络（GAN）进行单X射线基肿瘤定位
2. Hair-GAN: Recovering 3D hair structure from a single image using generative adversarial networks [J] . Meng Zhang, Youyi Zheng Visual Informatics . 2019,第2期

机译： Hair-GAN ：使用生成的对抗网络从单个图像恢复3D头发结构
3. A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images [J] . Yuan Gao, Yingchao Liu, Yuanyuan Wang, IEEE Transactions on Medical Imaging . 2019,第9期

机译：基于多对弱循环生成对抗网络的通用强度标准化方法
4. DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization [C] . Ashraful Islam, Chengjiang Long, Arslan Basharat, IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2020

机译：DOA-GAN：用于图像复制移动伪造检测和定位的双阶专心生成对抗网络
5. CR-GAN: Content-Based Recommender System with Conditional Generative Adversarial Networks [D] . Vundela, Karthik Reddy. 2018

机译：CR-GaN：基于内容的推荐系统，具有条件生成对策网络
6. SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction [O] . Zhenmou Yuan, Mingfeng Jiang, Yaming Wang, 2020

机译：SARA-GAN：基于自我关注和相对平均判别基于快速压缩传感MRI重建的生成对抗网络
7. Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders [O] . Jianlong Zhao, Jinjie Huang, Dongmei Zhi, 2020

机译：基于功能网络连接（FNC）的生成对抗网络（GAN）及其在精神障碍分类中的应用

A Patient-Independent CT Intensity Correction Method Using Generative Adversarial Networks (GAN) for Single X-Ray Based Tumor Localization

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