MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net.

Journal: Clinical imaging
Published Date: Sep 27, 2021

Abstract

PURPOSE: The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (CT).

Authors

  • Gürkan Kavuran
    Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Malatya Turgut Ozal University, Malatya, Turkey. Electronic address: gurkan.kavuran@ozal.edu.tr.
  • Erdal İn
    Department of Pulmonary Medicine, School of Medicine, Malatya Turgut Ozal University, Malatya, Turkey.
  • Ayşegül Altıntop Geçkil
    Department of Pulmonary Medicine, School of Medicine, Malatya Turgut Ozal University, Malatya, Turkey.
  • Mahmut Şahin
    Department of Radiology, Malatya Training and Research Hospital, Malatya, Turkey.
  • Nurcan Kırıcı Berber
    Department of Pulmonary Medicine, School of Medicine, Malatya Turgut Ozal University, Malatya, Turkey.

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