Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation …

MS Bugday, M Akcicek, H Bingol… - International Journal of …, 2023 - Wiley Online Library
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 …

Deep learning model for computer-aided diagnosis of urolithiasis detection from kidney–ureter–bladder images

YY Liu, ZH Huang, KW Huang - Bioengineering, 2022 - mdpi.com
Kidney–ureter–bladder (KUB) imaging is a radiological examination with a low cost, low
radiation, and convenience. Although emergency room clinicians can arrange KUB images …

Automatic classification of kidney CT images with relief based novel hybrid deep model

H Bingol, M Yildirim, K Yildirim, B Alatas - PeerJ Computer Science, 2023 - peerj.com
One of the most crucial organs in the human body is the kidney. Usually, the patient does not
realize the serious problems that arise in the kidneys in the early stages of the disease …

Design and validation of a deep learning model for renal stone detection and segmentation on Kidney–Ureter–Bladder images

ZH Huang, YY Liu, WJ Wu, KW Huang - Bioengineering, 2023 - mdpi.com
Kidney–ureter–bladder (KUB) imaging is used as a frontline investigation for patients with
suspected renal stones. In this study, we designed a computer-aided diagnostic system for …

Employing Advanced Deep Learning Technology for the Detection of Kidney Stones in Unenhanced Computed Tomography (CT) Imaging: A Model-Based Approach

RA Dos Santos - International Journal of Technology …, 2023 - journals.gaftim.com
Kidney stones are currently considered a very common disease and recent studies have
shown a tendency for the incidence of this disease to increase in recent years. The disease …

Exploring the Effect of Image Enhancement Techniques with Deep Neural Networks on Direct Urinary System (DUSX) Images for Automated Kidney Stone Detection

U Kilic, I Karabey Aksakalli… - … Journal of Intelligent …, 2023 - Wiley Online Library
In diagnosing kidney stone disease, clinical specialists often apply medical imaging
techniques such as CT and US. Among these imaging techniques, is frequently chosen as …

Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images

M Baygin, O Yaman, PD Barua, S Dogan… - Artificial Intelligence in …, 2022 - Elsevier
Kidney stone is a commonly seen ailment and is usually detected by urologists using
computed tomography (CT) images. It is difficult and time-consuming to detect small stones …

Automated detection of kidney stone using deep learning models

B Manoj, N Mohan, S Kumar - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Kidney stone is the most common disease nowa-days. Proper diagnosis of the disease is
required to cure and lead a healthy lifestyle. Various methods are posed for kidney stone …

[PDF][PDF] An Optimized Transfer Learning Model Based Kidney Stone Classification.

SD Mahalakshmi - Computer Systems Science & Engineering, 2023 - cdn.techscience.cn
The kidney is an important organ of humans to purify the blood. The healthy function of the
kidney is always essential to balance the salt, potassium and pH levels in the blood …

Effective deep learning classification for kidney stone using axial computed tomography (CT) images

Ö Sabuncu, B Bilgehan, E Kneebone… - Biomedical Engineering …, 2023 - degruyter.com
Introduction Stone formation in the kidneys is a common disease, and the high rate of
recurrence and morbidity of the disease worries all patients with kidney stones. There are …