Effective deep learning classification for kidney stone using axial computed tomography (CT) images.

Journal: Biomedizinische Technik. Biomedical engineering
Published Date: Oct 26, 2023

Abstract

INTRODUCTION: Stone formation in the kidneys is a common disease, and the high rate of recurrence and morbidity of the disease worries all patients with kidney stones. There are many imaging options for diagnosing and managing kidney stone disease, and CT imaging is the preferred method.

Authors

  • Özlem Sabuncu
    Department of Electrical and Electronic Engineering, Near East University, Nicosia, Mersin, Türkiye.
  • Bülent Bilgehan
    Department of Electrical and Electronic Engineering, Near East University, Nicosia, Mersin, Türkiye.
  • Enver Kneebone
    Vocational School of Health Services, European University of Lefke, Lefke, Mersin, Türkiye.
  • Omid Mirzaei
    Department of Biomedical Engineering, Near East University, Nicosia, Mersin, Türkiye.

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