A Deep Learning Model for Diagnosing COVID-19 and Pneumonia through X-ray.

Journal: Current medical imaging
Published Date: Jan 1, 2023

Abstract

BACKGROUND: The new global pandemic caused by the 2019 novel coronavirus (COVID-19), novel coronavirus pneumonia, has spread rapidly around the world, causing enormous damage to daily life, public health security, and the global economy. Early detection and treatment of COVID-19 infected patients are critical to prevent the further spread of the epidemic. However, existing detection methods are unable to rapidly detect COVID-19 patients, so infected individuals are not detected in a timely manner, which complicates the prevention and control of COVID-19 to some extent. Therefore, it is crucial to develop a rapid and practical COVID-19 detection method. In this work, we explored the application of deep learning in COVID-19 detection to develop a rapid COVID-19 detection method.

Authors

  • Xiangbin Liu
    College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China.
  • Wenqian Wu
    Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, 410081, Changsha, China.
  • Jerry Chun-Wei Lin
    Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway.
  • Shuai Liu
    Graduate School of Chinese Academy of Traditional Chinese Medicine, Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals