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

Polat, Cagin; KARAMAN, ONUR; KARAMAN, CEREN; Korkmaz, Guney; Balci, Mehmet; ERCAN KELEK, SEVİM

doi:10.3233/xst-200757

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, cilt.29, sa.1, ss.19-36, 2021 (SCI-Expanded, Scopus)

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
Orta Doğu Teknik Üniversitesi Adresli: Hayır

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.