A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients.

Abstract

Authors

• Yadong Gang
  Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, NO.169 Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, People's Republic of China.
• Xiongfeng Chen
  Department of Radiology, Puren Hospital affiliated to Wuhan University of Science and Technology, NO.1 Benxi street, Jianshe 4th Road, Qingshan District, Wuhan, 430080, Hubei Province, People's Republic of China.
• Huan Li
  National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
• Hanlun Wang
  Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, NO.169 Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, People's Republic of China.
• Jianying Li
  CT Research Center, GE Healthcare China, Beijing 100176, China.
• Ying Guo
  National Institutes for Food and Drug Control, Beijing, 100050, China.
• Junjie Zeng
  Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, NO.169 Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, People's Republic of China.
• Qiang Hu
  School of Information Science and Technology, Qingdao University of Science and Technology, Qicngdao 266061, China.
• Jinxiang Hu
  Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
• Haibo Xu
  State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.

Keywords

External Resources