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, cilt.48, sa.4, ss.299-302, 2022 (ESCI, Scopus, TRDizin)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 48 Sayı: 4
  • Basım Tarihi: 2022
  • Doi Numarası: 10.5152/tud.2022.22030
  • Dergi Adı: TURKISH JOURNAL OF UROLOGY
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.299-302
  • Anahtar Kelimeler: Deep learning, machine learning, artificial intelligence, hydronephrosis, vesicoureteral reflux
  • Süleyman Demirel Üniversitesi Adresli: Evet

Özet

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