[HTML][HTML] Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography

MN Islam, M Hasan, MK Hossain, MGR Alam… - Scientific Reports, 2022 - nature.com
Renal failure, a public health concern, and the scarcity of nephrologists around the globe
have necessitated the development of an AI-based system to auto-diagnose kidney …

[HTML][HTML] Advances in CT imaging for urolithiasis

Y Andrabi, M Patino, CJ Das, B Eisner… - Indian Journal of …, 2015 - journals.lww.com
Urolithiasis is a common disease with increasing prevalence worldwide and a lifetime-
estimated recurrence risk of over 50%. Imaging plays a critical role in the initial diagnosis …

A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans

DC Elton, EB Turkbey, PJ Pickhardt… - Medical …, 2022 - Wiley Online Library
Purpose Early detection and size quantification of renal calculi are important for optimizing
treatment and preventing severe kidney stone disease. Prior work has shown that volumetric …

Cystinuria: current diagnosis and management

P Saravakos, V Kokkinou, E Giannatos - Urology, 2014 - Elsevier
Cystinuria is an inherited disorder of the dibasic amino acid transport system in the proximal
tubule and the small intestine. Two responsible genes have been identified, the SLC3A1 on …

Noninvasive differentiation of uric acid versus non–uric acid kidney stones using dual-energy CT

AN Primak, JG Fletcher, TJ Vrtiska, OP Dzyubak… - Academic radiology, 2007 - Elsevier
RATIONALE AND OBJECTIVES: To determine the accuracy and sensitivity for dual-energy
computed tomography (DECT) discrimination of uric acid (UA) stones from other (non-UA) …

Hounsfield unit density in the determination of urinary stone composition

G Motley, N Dalrymple, C Keesling, J Fischer… - Urology, 2001 - Elsevier
Objectives. Noncontrast computed tomography (NCCT) has emerged as the diagnostic
study of choice in the evaluation of acute flank pain. Recent in vitro studies have suggested …

Renal stone assessment with dual-energy multidetector CT and advanced postprocessing techniques: improved characterization of renal stone composition—pilot …

DT Boll, NA Patil, EK Paulson, EM Merkle… - Radiology, 2009 - pubs.rsna.org
Purpose: To prospectively evaluate the capability of noninvasive, simultaneous dual-energy
(DE) multidetector computed tomography (CT) to improve characterization of human renal …

Stone attenuation and skin-to-stone distance on computed tomography predicts for stone fragmentation by shock wave lithotripsy

AE Perks, TD Schuler, J Lee, D Ghiculete, DG Chung… - Urology, 2008 - Elsevier
OBJECTIVES: To determine whether stone attenuation and the skin-to-stone distance (SSD)
can predict for stone fragmentation by SWL independently. Identifying the factors predictive …

[HTML][HTML] Exploring the capabilities of a lightweight CNN model in accurately identifying renal abnormalities: Cysts, stones, and tumors, using LIME and SHAP

M Bhandari, P Yogarajah, MS Kavitha, J Condell - Applied Sciences, 2023 - mdpi.com
Kidney abnormality is one of the major concerns in modern society, and it affects millions of
people around the world. To diagnose different abnormalities in human kidneys, a narrow …

New and evolving concepts in the imaging and management of urolithiasis: urologists' perspective

AR Kambadakone, BH Eisner, OA Catalano… - Radiographics, 2010 - pubs.rsna.org
Urolithiasis is a universal problem that has become increasingly prevalent in the United
States and has a high rate of recurrence. Imaging of urolithiasis has evolved over the years …