Exploring the capabilities of a lightweight CNN model in accurately identifying renal abnormalities: Cysts, stones, and tumors, using LIME and SHAP
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 …
people around the world. To diagnose different abnormalities in human kidneys, a narrow …
Multi-class kidney abnormalities detecting novel system through computed tomography
Impaired renal function poses a risk across all age groups. Because of the global shortage
of nephrologists, the growing public health concern over renal failure, and technological …
of nephrologists, the growing public health concern over renal failure, and technological …
Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches
Plenty of disease types exist in world communities that can be explained by humans'
lifestyles or the economic, social, genetic, and other factors of the country of residence …
lifestyles or the economic, social, genetic, and other factors of the country of residence …
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 …
suspected renal stones. In this study, we designed a computer-aided diagnostic system for …
Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh
most common tumor in both men and women worldwide. The early detection of KT has …
most common tumor in both men and women worldwide. The early detection of KT has …
Deep segmentation networks for segmenting kidneys and detecting kidney stones in unenhanced abdominal CT images
D Li, C Xiao, Y Liu, Z Chen, H Hassan, L Su, J Liu, H Li… - Diagnostics, 2022 - mdpi.com
Recent breakthroughs of deep learning algorithms in medical imaging, automated detection,
and segmentation techniques for renal (kidney) in abdominal computed tomography (CT) …
and segmentation techniques for renal (kidney) in abdominal computed tomography (CT) …
Deep learning model for automated kidney stone detection using coronal CT images
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
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 …
A two-stage renal disease classification based on transfer learning with hyperparameters optimization
Renal diseases are common health problems that affect millions of people around the world.
Among these diseases, kidney stones, which affect anywhere from 1 to 15% of the global …
Among these diseases, kidney stones, which affect anywhere from 1 to 15% of the global …
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 …