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

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

JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, cilt.29, sa.1, ss.19-36, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.3233/xst-200757
  • Dergi Adı: JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, EMBASE, INSPEC, MEDLINE
  • Sayfa Sayıları: ss.19-36
  • Anahtar Kelimeler: Coronavirus (COVID-19) infection, deep learning, convolutional neural network (CNN), transfer learning, chest X-ray images
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.