Can deep learning replace histopathological examinations in the differential diagnosis of cervical lymphadenopathy?

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Published Date: Aug 14, 2023

Abstract

INTRODUCTION: We aimed to develop a diagnostic deep learning model using contrast-enhanced CT images and to investigate whether cervical lymphadenopathies can be diagnosed with these deep learning methods without radiologist interpretations and histopathological examinations.

Authors

  • Sermin Can
    Department of Otorhinolaryngology and Head and Neck Surgery Clinic, Dicle University Faculty of Medicine, 21010, Diyarbakir, Turkey. sermin.can@hotmail.com.
  • Ömer Türk
    Department of Computer Technologies, Artuklu University, Mardin, Turkey.
  • Muhammed Ayral
    Department of Otorhinolaryngology and Head and Neck Surgery Clinic, Dicle University Faculty of Medicine, 21010, Diyarbakir, Turkey.
  • Günay Kozan
    Department of Otorhinolaryngology and Head and Neck Surgery Clinic, Dicle University Faculty of Medicine, 21010, Diyarbakir, Turkey.
  • Hamza Arı
    Department of Otorhinolaryngology and Head and Neck Surgery Clinic, Dicle University Faculty of Medicine, 21010, Diyarbakir, Turkey.
  • Mehmet Akdağ
    Department of Otorhinolaryngology and Head and Neck Surgery Clinic, Dicle University Faculty of Medicine, 21010, Diyarbakir, Turkey.
  • Müzeyyen Yıldırım Baylan
    Department of Otorhinolaryngology and Head and Neck Surgery Clinic, Dicle University Faculty of Medicine, 21010, Diyarbakir, Turkey.

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