Deep learning model-assisted detection of kidney stones on computed tomography.

Journal: International braz j urol : official journal of the Brazilian Society of Urology
Published Date: Jan 1, 2022

Abstract

INTRODUCTION: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images.

Authors

  • Alper Caglayan
    Department of Urology, Izmir Bakırcay University Cigli Training and Research Hospital, Izmir, Turkey.
  • Mustafa Ozan Horsanali
    Department of Urology, Izmir Bakırcay University Cigli Training and Research Hospital, Izmir, Turkey.
  • Kenan Kocadurdu
    Department of Information Systems, Izmir Bakırcay University Cigli Training and Research Hospital, Izmir, Turkey.
  • Eren Ismailoglu
    Deparment of Radiology, Izmir Bakırçay University, Faculty of Medicine, Izmir, Turkey.
  • Serkan Guneyli
    Deparment of Radiology, Izmir Bakırçay University, Faculty of Medicine, Izmir, Turkey.

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