A comprehensive segmentation of chest X-ray improves deep learning-based WHO radiologically confirmed pneumonia diagnosis in children.

Abstract

Authors

• Yuemei Li
  Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, 333 Nanchen Road, Shanghai 200444, China.
• Lin Zhang
  Laboratory of Molecular Translational Medicine, Centre for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Clinical Research Center for Birth Defects of Sichuan Province, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. Electronic address: zhanglin@scu.edu.cn.
• Hu Yu
  School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211816, China.
• Jian Wang
  Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
• Shuo Wang
  College of Tea & Food Science, Anhui Agricultural University, Hefei, China.
• Jungang Liu
  Department of Radiology, Xiamen Children's Hospital, Children's Hospital of Fudan University at Xiamen, Xiamen, Fujian, China. jgliu_XMChospital@hotmail.com.
• Qiang Zheng
  First People's Hospital of Zunyi City, Zunyi, China.

Keywords

External Resources