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

Creative Commons License

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

ISTANBUL MEDICAL JOURNAL, vol.24, no.1, pp.40-47, 2023 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 1
  • Publication Date: 2023
  • Doi Number: 10.4274/imj.galenos.2023.07348
  • Journal Name: ISTANBUL MEDICAL JOURNAL
  • Journal Indexes: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Page Numbers: pp.40-47
  • Keywords: Computed tomography, computer aided diagnosis, convolutional neural networks, COVID-19, deep learning, machine learning, pneumonia, U-Net, CHEST CT
  • Open Archive Collection: AVESIS Open Access Collection
  • Ankara University Affiliated: Yes

Abstract

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.