Development of an Artificial Intelligence Method to Detect COVID-19 Pneumonia in Computed Tomography Images

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Yildirim G., Karakas H. M., Ozkaya Y. A., Sener E., Findik O., Pulat G. N.

ISTANBUL MEDICAL JOURNAL, cilt.24, sa.1, ss.40-47, 2023 (ESCI, TRDizin) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.4274/imj.galenos.2023.07348
  • Dergi Adı: ISTANBUL MEDICAL JOURNAL
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.40-47
  • Anahtar Kelimeler: Computed tomography, computer aided diagnosis, convolutional neural networks, COVID-19, deep learning, machine learning, pneumonia, U-Net, CHEST CT
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Ankara Üniversitesi Adresli: Evet

Özet

Introduction: This study aimed to construct an artificial intelligence system to detect Coronavirus disease-2019 (COVID-19) pneumonia on computed tomography (CT) images and to test its diagnostic performance.