Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images.

Journal: Journal of healthcare engineering
Published Date: Mar 1, 2021

Abstract

COVID-19 has affected the whole world drastically. A huge number of people have lost their lives due to this pandemic. Early detection of COVID-19 infection is helpful for treatment and quarantine. Therefore, many researchers have designed a deep learning model for the early diagnosis of COVID-19-infected patients. However, deep learning models suffer from overfitting and hyperparameter-tuning issues. To overcome these issues, in this paper, a metaheuristic-based deep COVID-19 screening model is proposed for X-ray images. The modified AlexNet architecture is used for feature extraction and classification of the input images. Strength Pareto evolutionary algorithm-II (SPEA-II) is used to tune the hyperparameters of modified AlexNet. The proposed model is tested on a four-class (i.e., COVID-19, tuberculosis, pneumonia, or healthy) dataset. Finally, the comparisons are drawn among the existing and the proposed models.

Authors

  • Manjit Kaur
    Computer and Communication Engineering Department, School of Computing and Information Technology, Manipal University Jaipur, Jaipur, India. Manjit.kr@yahoo.com.
  • Vijay Kumar
    Computer Science and Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh, India.
  • Vaishali Yadav
    Department of Computer and Communication Engineering, School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
  • Dilbag Singh
    Computer Science and Engineering Department, School of Computing and Information Technology, Manipal University Jaipur, Jaipur, India.
  • Naresh Kumar
    Department of Computer Science & Engineering, Maharaja Surajmal Institute of Technology, C-4, Janakpuri, New Delhi 110058, India.
  • Nripendra Narayan Das
    Department of Information Technology, School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.

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