Deep Learning-Based Renal Biopsy Image Analysis for Diagnosing Diabetic Kidney Disease

SS Kumar, SJ Nath, A Gaurav - Convergence of Blockchain and …, 2024 - taylorfrancis.com
India has recently surpassed China as the most populous nation, with over 1.4 billion
people. The prevalence of diabetes in India has increased significantly, with the nationwide …

Classification of kidney diseases using transfer learning

SK Saxena, JN Shrivastava, G Agarwal… - Handbook of research …, 2023 - igi-global.com
A urologist confirms high risks of kidney stones just because of diabetic mellitus; however,
other factors also exist, but a major cause is type 2 diabetes. Renal cyst and diabetes clinical …

A review on detection of kidney disease using machine learning and deep learning techniques

VS Sri, PS Kumar, V Rajendran - Application of Deep Learning …, 2022 - taylorfrancis.com
The incredible accomplishment of deep learning models at image identification
responsibilities in modern existence traverse through an occasion of significantly improved …

[PDF][PDF] Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks.

AH Yurttakal, H Erbay, G Çinarer, H Bas - Int. J. Comput. Intell. Syst., 2021 - academia.edu
Diabetes mellitus is a common disease worldwide. In progressive diabetes patients,
deterioration of kidney histology tissue begins. Currently, the histopathologic examination of …

[HTML][HTML] A two-stage renal disease classification based on transfer learning with hyperparameters optimization

M Badawy, AM Almars, HM Balaha, M Shehata… - Frontiers in …, 2023 - frontiersin.org
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 …

Intelligent Diagnosis of Diabetic Kidney Disease Based on Heterogeneous Data

H Yu, J Xin, J Wu, L Wang, S Chen… - 2022 China …, 2022 - ieeexplore.ieee.org
Diabetic kidney disease (DKD) is a complication of diabetes, with high incidence rate, low
prevention rate, and low cure rate. The diagnostic process for DKD is difficult and most of the …

[HTML][HTML] A deep learning approach for kidney disease recognition and prediction through image processing

K Kumar, M Pradeepa, M Mahdal, S Verma… - Applied Sciences, 2023 - mdpi.com
Chronic kidney disease (CKD) is a gradual decline in renal function that can lead to kidney
damage or failure. As the disease progresses, it becomes harder to diagnose. Using routine …

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators

X Liu, Y Wu, Y Chen, D Hui, J Zhang, F Hao… - Computers in Biology …, 2023 - Elsevier
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …

Deep Learning for Automated Classification of Kidney Lesions in Chronic Kidney Disease Patients

BS Lakshmi, H Omotunde… - 2024 International …, 2024 - ieeexplore.ieee.org
Deep Learning was utilized to autonomously classify renal abnormalities, which improved
the diagnostic accuracy for individuals with chronic kidney disease (CKD), according to this …

A Comprehensive Review of Artificial Intelligence Approaches in Kidney Cancer Medical Images Diagnosis, Datasets, Challenges and Issues and Future Directions

DA Kadhim, MA Mohammed - International Journal of Mathematics …, 2024 - ijmscs.org
Various diseases are prevalent in global populations and can be attributed to human
lifestyles, economic conditions, social factors, genetics, and other country-specific factors …