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Deep learning model for automated kidney stone detection using coronal CT images
K Yildirim, PG Bozdag, M Talo, O Yildirim… - Computers in biology …, 2021 - Elsevier
Kidney stones are a common complaint worldwide, causing many people to admit to
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
KK Patro, JP Allam, BC Neelapu, R Tadeusiewicz… - Information …, 2023 - Elsevier
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
Clinical applications of machine learning for urolithiasis and benign prostatic hyperplasia: a systematic review
D Bouhadana, XH Lu, JW Luo, A Assad… - Journal of …, 2023 - liebertpub.com
Introduction: Previous systematic reviews related to machine learning (ML) in urology often
overlooked the literature related to endourology. Therefore, we aim to conduct a more …
overlooked the literature related to endourology. Therefore, we aim to conduct a more …
[HTML][HTML] Transforming urinary stone disease management by artificial intelligence-based methods: a comprehensive review
A Anastasiadis, A Koudonas, G Langas… - Asian Journal of …, 2023 - Elsevier
Objective To provide a comprehensive review on the existing research and evidence
regarding artificial intelligence (AI) applications in the assessment and management of …
regarding artificial intelligence (AI) applications in the assessment and management of …
StoneNet: An efficient lightweight model based on depthwise separable convolutions for kidney stone detection from CT images
S Asif, M Zhao, X Chen, Y Zhu - Interdisciplinary Sciences: Computational …, 2023 - Springer
Kidney stone disease is one of the most common and serious health problems in much of
the world, leading to many hospitalizations with severe pain. Detecting small stones is …
the world, leading to many hospitalizations with severe pain. Detecting small stones is …
Kidney Stone Prediction Using Neural Network Classifier
kidney stone disorder is a frequent hassle in the World today. The majority of kidney stones
is tiny and bypass on their own. Overwork, which suppresses human antibodies, excessive …
is tiny and bypass on their own. Overwork, which suppresses human antibodies, excessive …
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 …
radiation, and convenience. Although emergency room clinicians can arrange KUB images …
Deep-learned generation of renal dual-energy CT from a single-energy scan
M Sheikhi, S Sina, M Karimipourfard - Clinical Radiology, 2024 - Elsevier
Aim To investigate the role of the deep-learning (DL) method in the generation of dual-
energy computed tomography (DECT) images from single-energy images for precise …
energy computed tomography (DECT) images from single-energy images for precise …
[PDF][PDF] On the in vivo recognition of kidney stones using machine learning
G Ochoa-Ruiz, V Estrade, F Lopez… - arxiv preprint arxiv …, 2022 - researchgate.net
Determining the type of kidney stones allows urologists to prescribe a treatment to avoid
recurrence of renal lithiasis. An automated in-vivo image-based classification method would …
recurrence of renal lithiasis. An automated in-vivo image-based classification method would …
Analysis of Ultrasound Images in Kidney Failure Diagnosis Using Deep Learning
Ultrasonic imaging has proven to be a valuable tool in kidney diagnosis, providing essential
information about kidney size, shape, position, and function; and detecting structural …
information about kidney size, shape, position, and function; and detecting structural …