Image-based deep learning in diagnosing mycoplasma pneumonia on pediatric chest X-rays.

Journal: BMC pediatrics
PMID: 39529076

Abstract

BACKGROUND: Correctly diagnosing and accurately distinguishing mycoplasma pneumonia in children has consistently posed a challenge in clinical practice, as it can directly impact the prognosis of affected children. To address this issue, we analyzed chest X-rays (CXR) using various deep learning models to diagnose pediatric mycoplasma pneumonia.

Authors

  • Xing-Hao Lan
    Radiology department, Children's Hospital of Soochow University, Suzhou, 215025, China.
  • Yun-Xu Zhang
    School of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China.
  • Wei-Hua Yuan
    Department of Radiology, Changzhou Children's Hospital of Nantong University, Changzhou 213003, China.
  • Fei Shi
    Medical Image Processing, Analysis, and Visualization (MIVAP) Lab, School of Electronics and Information Engineering, Soochow University, Suzhou, China.
  • Wan-Liang Guo
    Department of Radiology, Children's Hospital of Soochow University, Suzhou 215025, China.

Keywords

External Resources

Popular Topics
Recent Journals