Work

A patient-independent CT intensity matching method using conditional generative adversarial networks (cGAN) for single x-ray projection-based tumor localization

Year: 2020

Type: article

Source: Physics in Medicine and Biology

DOI: 10.1088/1361-6560/ab8bf2

Authors: Ran Wei, Bo Liu, Fugen Zhou, Xiangzhi Bai, Dongshan Fu, Bin Liang, Qiuwen Wu

Institutions: Beihang University, Chinese Academy of Medical Sciences & Peking Union Medical College, Duke University, Duke Medical Center

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1390501305, G3250606925, 基于摆位CBCT透视图像的呼吸运动模型构建方法研究及其在肿瘤定位中的应用, G7953880188

OpenAlex ID: W3016935756

FWCI: 0.712

Cites: 28

Cited by: 9

Related to: 10