The shortage of nephrologists and the growing public health concern over renal failure have
spurred the demand for AI systems capable of autonomously detecting kidney abnormalities …

Kidney disease remains one of the most common ailments worldwide, with cancer being
one of its most common forms. Early diagnosis can significantly increase the good prognosis …

The occurrence of kidney abnormalities (K. Abs) prevalence is elevating which have noxious
and deleterious affects all over the world. An automated detection of K. Abs accurately …

Kidney disease is a major health problem that affects millions of people around the world.
Human kidney problems can be diagnosed with the help of computed tomography (CT) …

Methods: The proposed work aims to develop a framework to classify renal computed
tomography (CT) images into healthy/cancer classes using pre-trained deep-learning …

Kidney diseases are globally prevalent and often lead individuals to seek urgent medical
attention due to severe discomfort. The timely identification of these conditions necessitates …

The healthcare industry has witnessed a surge in the adoption of machine learning due to its
capacity to detect and predict diseases. The integration of machine learning and artificial …

This study presents an innovative classification of kidney diseases. The stated method
utilizes a hybrid model that integrates CNN and Support Vector Machines. The main goal of …

AI techniques are pervading the medical field and facilitating the related educational
applications, such as computer aided medical diagnosis, online surgery platforms and …

Artificial Intelligence (AI) becomes one hotspot in the field of the medical images analysis
and provides rather promising solution. Although some research has been explored in smart …