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

Journal: Journal of X-ray science and technology

Published Date: Jan 1, 2021

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.

Authors

Çağín Polat

Notrino Research, ODTÜ Teknokent, Ankara, Turkey.
Onur Karaman

Department of Medical Imaging Techniques, Akdeniz University, Vocational School of Health Services, Antalya, Turkey.
Ceren Karaman

Department of Electricity and Energy, Akdeniz University, Vocational School of Technical Sciences, Antalya, Turkey.
Güney Korkmaz

Notrino Research, ODTÜ Teknokent, Ankara, Turkey.
Mehmet Can Balcı

Notrino Research, ODTÜ Teknokent, Ankara, Turkey.
Sevim Ercan Kelek

Department of Medical Laboratory Techniques, Akdeniz University, Vocational School of Health Services, Antalya, Turkey.

Keywords

Algorithms COVID-19 Deep Learning Early Diagnosis Humans Neural Networks, Computer Pneumonia Radiography, Thoracic Reproducibility of Results SARS-CoV-2 Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (33459685)

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

Abstract

Authors

Keywords

External Resources

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