Image-based deep learning in diagnosing the etiology of pneumonia on pediatric chest X-rays.

Journal: Pediatric pulmonology
Published Date:

Abstract

PURPOSE: Comparing the efficacy of a deep-learning model in classifying the etiology of pneumonia on pediatric chest X-rays (CXRs) with that of human readers.

Authors

  • Longjiang E
    Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Baisong Zhao
    Department of Anesthesiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Hongsheng Liu
    School of Life Science, Liaoning University, Shenyang, 110036, China. liuhongsheng@lnu.edu.cn.
  • Changmeng Zheng
    School of Software Engineering, South China University of Technology, Guangzhou, China; Key Laboratory of Big Data and Intelligent Robot (South China University of Technology), Ministry of Education, Guangzhou, China. Electronic address: sethecharm@mail.scut.edu.cn.
  • Xingrong Song
    Department of Anesthesiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Yi Cai
    College of Veterinary Medicine, Hebei Agricultural University, Baoding, Hebei 071000, China.
  • Huiying Liang
    Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.