From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.

Abstract

Authors

• Zhang Li
  College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China.
• Zheng Zhong
  Department of Radiology, The First Hospital of Changsha City, Changsha, China.
• Yang Li
  Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
• Tianyu Zhang
  State Key Laboratory of Respiratory Disease, Joint School of Life Sciences, Guangzhou Chest Hospital, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
• Liangxin Gao
  Ping An Technology (Shenzhen) Co.,Ltd, China.
• Dakai Jin
• Yue Sun
  Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
• Xianghua Ye
  Department of Radiotherapy, The First Affiliated Hospital, Zhejiang University, Zhejiang, Hangzhou, China.
• Li Yu
  Key Laboratory of Colloid and Interface Chemistry, Shandong University, Ministry of Education, Jinan 250100, P. R. China. ylmlt@sdu.edu.cn.
• Zheyu Hu
  Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya Medical School, Central South University, Changsha, China.
• Jing Xiao
  Xiyuan Hospital, China Academy of Chinese Medical Sciences(CACMS), Beijing, China.
• Lingyun Huang
  PingAn Technology, Shenzhen, China. huanglingyun691@pingan.com.cn.
• Yuling Tang
  Department of Respiratory Medicine, The First Hospital of Changsha City, Changsha, China. tyl71523@qq.com.

Keywords

External Resources