Clinical value of deep learning image reconstruction on the diagnosis of pulmonary nodule for ultra-low-dose chest CT imaging.

Abstract

Authors

• Z Zheng
  Postgraduate Cultivation Base of Guangzhou University of Chinese Medicine, Panyu Central Hospital, Guangzhou, China; Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China. Electronic address: 13437860260@163.com.
• Z Ai
  Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China. Electronic address: aizhugz@126.com.
• Y Liang
  State Key Laboratory of Quality Research in Chinese Medicines & Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau, China yliang@must.edu.mo.
• Y Li
• Z Wu
  School of Data and Computer Science (Z.W.), Sun Yat-sen University, Guangzhou, China.
• M Wu
  University Technology Sydney, 15 Broadway, Ultimo, NSW Australia.
• Q Han
  Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China. Electronic address: hanqijiagz@126.com.
• K Ma
  Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China.
• Z Xiang
  Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China. Electronic address: xiangzhiming@pyhospital.com.cn.

Keywords

External Resources