首页> 外文OA文献 >Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images

【2h】

Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images

机译：正规化的三维生成对抗网，用于无监督的金属伪影器的头部和颈部CT图像

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Megumi Nakao; Keiho Imanishi; Nobuhiro Ueda; Yuichiro Imai; Tadaaki Kirita; Tetsuya Matsuda;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region [J] . Mitsuhiro Nakamura, Megumi Nakao, Keiho Imanishi, Radiation oncology . 2021,第1期

机译：基于3D生成对抗网络的金属伪影术在vmat上的几何和剂量造成对脊和颈部区域的影响
2. Metal artifact reduction in computed tomography images based on developed generative adversarial neural network [J] . Goli Khaleghi, Mohammad Hosntalab, Mahdi Sadeghi, Informatics in Medicine Unlocked . 2021,第a期

机译：基于开发的生成对抗神经网络的计算机断层扫描图像的金属伪影减少
3. Conditional Generative Adversarial Networks (cGANs) for Magnetic Resonance (MR) Based Synthetic Computed Tomography (sCT) Images in Head and Neck Dose Calculations [J] . Klages P., Jiang J., Farjam R., Medical Physics . 2018,第6期

机译：用于磁共振（MR）的磁共振（MR）合成计算机断层扫描（SCT）图像的条件生成对抗网络（CGANs）在头部和颈部剂量计算中的图像
4. Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear [C] . Jianing Wang, Yiyuan Zhao, Jack H. Noble, International conference on medical imaging computing and computer-assisted intervention . 2018

机译：用于减少耳朵CT图像中的金属伪像的条件生成对抗网络
5. Generative Adversarial Network Data Generation for the Use of Real Time Image Detection in Side-Scan Sonar Imagery [D] . McGinley, James Patrick. 2019

机译：用于使用实时图像检测的生成对抗网络数据在侧扫声明图像中使用
6. Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region [O] . Mitsuhiro Nakamura, Megumi Nakao, Keiho Imanishi, 2021

机译：基于3D生成对抗网络的金属伪影术减少算法在VMAT上的几何和剂量对颈部和颈部区域的影响
7. Progressive Generative Adversarial Networks: Deep Learning in Head and Neck Cancer CT Images to Synthesized PET Images Generation for Hybrid PET/CT Application [O] . Bin HUANG, Zhe-wei CHEN, Martin LAW, 2018

机译：渐进生成的对抗网络：头部和颈部癌症CT图像的深度学习，用于杂交PET / CT应用的合成PET图像

Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images

著录项

引文网络

相似文献

相关主题

期刊订阅