COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader


Polat C., KARAMAN O., KARAMAN C., Korkmaz G., Balci M. C. , ERCAN KELEK S.

JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, vol.29, no.1, pp.19-36, 2021 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 1
  • Publication Date: 2021
  • Doi Number: 10.3233/xst-200757
  • Journal Name: JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, EMBASE, INSPEC, MEDLINE
  • Page Numbers: pp.19-36
  • Keywords: Coronavirus (COVID-19) infection, deep learning, convolutional neural network (CNN), transfer learning, chest X-ray images

Abstract

BACKGROUND: Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time.