Deep Learning in Urological Images Using Convolutional Neural Networks: An Artificial Intelligence Study


Serel A., ÖZTÜRK S. A. , Soyupek S., Serel H. B.

TURKISH JOURNAL OF UROLOGY, vol.48, no.4, pp.299-302, 2022 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 48 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.5152/tud.2022.22030
  • Journal Name: TURKISH JOURNAL OF UROLOGY
  • Journal Indexes: Emerging Sources Citation Index, Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.299-302
  • Keywords: Deep learning, machine learning, artificial intelligence, hydronephrosis, vesicoureteral reflux

Abstract

Objective: Using artificial intelligence and a deep learning algorithm can differentiate vesicoureteral reflux and hydronephrosis reliably.