Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography

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AYDIN N., Celik O.

TUBERKULOZ VE TORAKS-TUBERCULOSIS AND THORAX, vol.69, no.4, pp.486-491, 2021 (ESCI) identifier identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 69 Issue: 4
  • Publication Date: 2021
  • Doi Number: 10.5578/tt.20219606
  • Journal Name: TUBERKULOZ VE TORAKS-TUBERCULOSIS AND THORAX
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, CAB Abstracts, EMBASE, MEDLINE, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.486-491
  • Keywords: COVID-19 pneumonia, CT, deep learning, neural networks, computed tomography
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

Introduction: Computed tomography (CT) is an auxiliary modality in the diagnosis of the novel Coronavirus (COVID-19) disease and can guide physicians in the presence of lung involvement. In this study, we aimed to investigate the contribution of deep learning to diagnosis in patients with typical COVID-19 pneumonia findings on CT.