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

Urinary system stone disease is a common disease group all over the world. Ureteral stones constitute 20% of all urinary system stones. Ureteral stones are important because they can cause hydronephrosis and related renal parenchymal damage in the kidneys. In the study, a hybrid model was developed...

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Veröffentlicht in:International journal of imaging systems and technology 2023-03, Vol.33 (2), p.760-769
Hauptverfasser: Bugday, Muhammet Serdar, Akcicek, Mehmet, Bingol, Harun, Yildirim, Muhammed
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Sprache:eng
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