Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms.

Abstract

Authors

• Yu Meng
  Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou 310014, Zhejiang, China.
• Jingru Ruan
  Bengbu Medical College, Bengbu, China.
• Bailin Yang
  School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China.
• Yang Gao
  State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100050, China.
• Jianqiu Jin
  School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018, China.
• Fangfang Dong
  School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China.
• Hongli Ji
  Jianpei Technology Co., Ltd., Hangzhou, 310000, China.
• Linyang He
  Hangzhou Jianpei Technology Co., Ltd, Hangzhou, China.
• Guohua Cheng
  Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
• Xiangyang Gong
  Rehabilitation Medicine Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou 310014, Zhejiang, China.; Institute of Artificial Intelligence and Remote Imaging, Hangzhou Medical College, Hangzhou 310014, China. Electronic address: gong.xy@vip.163.com.

Keywords

External Resources