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 …
people. The prevalence of diabetes in India has increased significantly, with the nationwide …
Classification of kidney diseases using transfer learning
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 …
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 …
responsibilities in modern existence traverse through an occasion of significantly improved …
[PDF][PDF] Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks.
Diabetes mellitus is a common disease worldwide. In progressive diabetes patients,
deterioration of kidney histology tissue begins. Currently, the histopathologic examination of …
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
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 …
Intelligent Diagnosis of Diabetic Kidney Disease Based on Heterogeneous Data
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 …
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
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 …
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
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …
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 …
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 …
lifestyles, economic conditions, social factors, genetics, and other country-specific factors …