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, cilt.69, sa.4, ss.486-491, 2021 (ESCI) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 69 Sayı: 4
  • Basım Tarihi: 2021
  • Doi Numarası: 10.5578/tt.20219606
  • Dergi Adı: TUBERKULOZ VE TORAKS-TUBERCULOSIS AND THORAX
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, CAB Abstracts, EMBASE, MEDLINE, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.486-491
  • Anahtar Kelimeler: COVID-19 pneumonia, CT, deep learning, neural networks, computed tomography
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.