Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning.

Abstract

Authors

• Fan Yang
  School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
• Zhi-Ri Tang
  School of Microelectronics, Wuhan University, Wuhan, Hubei, People's Republic of China.
• Jing Chen
  Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
• Min Tang
  Department of Nephrology, Blood Purification Research Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China.
• Shengchun Wang
  Luzhou Center for Disease Control and Prevention, Luzhou, 646000, Sichuan, China.
• Wanyin Qi
  Department of Radiology, The Affiliated Hospital of Southwest Medical University, Taiping Street, Luzhou, 646000, Sichuan, China.
• Chong Yao
  Key Laboratory of Industrial Dust Prevention and Control and Occupational Health and Safety, Ministry of Education, Huainan, China.
• Yuanyuan Yu
  Key Laboratory of Industrial Dust Prevention and Control and Occupational Health and Safety, Ministry of Education, Huainan, China.
• Yinan Guo
  School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
• Zekuan Yu
  Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.

Keywords

External Resources