Kidney disorders are a major public health issue affecting millions worldwide. Renal calculi
and cancer are prevalent, causing chronic kidney disease (CKD). Artificial intelligence can …

Deep Learning was utilized to autonomously classify renal abnormalities, which improved
the diagnostic accuracy for individuals with chronic kidney disease (CKD), according to this …

Deep learning has become an extremely powerful tool for complex tasks such as image
classification and segmentation. The medical industry often lacks high-quality, balanced …

Chronic kidney disease (CKD) may cause significant damage to a person's kidneys or lead
to renal failure, which can be deadly. Kidney stones are a common symptom and may lead …

This research paper focuses on the application of Convolutional Neural Networks (CNNs)
for the multi-class classification of kidney conditions, including Cyst, Normal, Stone, and …

Recent studies have proven that data analytics may assist in predicting events before they
occur, which may impact the outcome of current situations. In the medical sector, it has been …

The kidney is an essential organ inside the human body, playing a crucial role in several
physiological processes. One of its primary roles is the filtration of waste products and …

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 …

Kidney abnormalities are common in the world and due to the scarcity of urologists, there is
a need to develop an automated system for the detection of kidney diseases. In this paper …

Accurately classifying kidney diseases, such as stones, cysts, tumors, and normal cases, is
vital in effective diagnosis and treatment planning. A method for multi class classification of …