A Novel Approach to the Technique of Lung Region Segmentation Based on a Deep Learning Model to Diagnose COVID-19 X-ray Images.

Journal: Current medical imaging
Published Date: Jan 1, 2024

Abstract

BACKGROUND: The novel coronavirus pandemic has caused a global health crisis, placing immense strain on healthcare systems worldwide. Chest X-ray technology has emerged as a critical tool for the diagnosis and treatment of COVID-19. However, the manual interpretation of chest X-ray films has proven to be inefficient and time-consuming, necessitating the development of an automated classification system.

Authors

  • Xuejie Ding
    College of Medicine, Guangxi University, Nanning, 530004, China.
  • Qi Zhou
  • Zifan Liu
    College of Medicine, Guangxi University, Nanning, 530004, China.
  • Jamal Alzobair Hammad Kowah
    College of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
  • Lisheng Wang
    Department of Automation, Shanghai Jiaotong University, China.
  • Xialing Huang
    Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning 530004, Guangxi, China.
  • Xu Liu
    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. liuxu16@bjut.edu.cn.

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