Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient-weighted class activation mapping based deep hybrid model

8191923
Uluslararası
Hakemli
SCI-Expanded
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient-weighted class activation mapping based deep hybrid model
BUĞDAY MUHAMMET SERDAR, AKÇİÇEK MEHMET, BİNGÖL HARUN, YILDIRIM MUHAMMED
International Journal of Imaging Systems and Technology
İngilizce
3
2023
33
2
760
769
0899-9457
Basılı+Elektronik
Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Yapay Öğrenme
6915373
2024-01-04 17:55:22
Özgün Makale
https://onlinelibrary.wiley.com/doi/10.1002/ima.22847