Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …

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 …

Kidney stone is a commonly seen ailment and is usually detected by urologists using
computed tomography (CT) images. It is difficult and time-consuming to detect small stones …

Kidney cancer is a public health problem that affects thousands of people worldwide.
Accurate kidney tumor segmentation is an important task that helps doctors to reduce the …

Precise vertebrae segmentation is essential for the image-related analysis of spine
pathologies such as vertebral compression fractures and other abnormalities, as well as for …

Cure rates for kidney cancer vary according to stage and grade; hence, accurate diagnostic
procedures for early detection and diagnosis are crucial. Some difficulties with manual …

This paper proposes an encoder-decoder architecture for kidney segmentation. A
hyperparameter optimization process is implemented, including the development of a model …

Purpose The alarming increase in diseases of urinary system is a cause of concern for the
populace and health experts. The traditional techniques used for the diagnosis of these …

Introduction Kidney tumors are common cancer in advanced age, and providing early
detection is crucial. Medical imaging and deep learning methods are increasingly attractive …

Kidney tumors are a significant health concern. Early detection and accurate segmentation
of kidney tumors are crucial for timely and effective treatment, which can improve patient …