Hepatocellular Carcinoma (HCC), the most common primary liver cancer, is a significant
contributor to worldwide cancer-related deaths. Various medical imaging techniques …

The liver is one of the vital organs in the body. Precise liver segmentation in medical images
is essential for liver disease treatment. The deep learning-based liver segmentation process …

Abstract Chronic Kidney Disease (CKD) is a common ailment with significant public health
implications, underscoring the critical importance of early detection and diagnosis for …

Image segmentation of the liver is an important step in treatment planning for liver cancer.
However, manual segmentation at a large scale is not practical, leading to increasing …

The increasing prevalence of colon and lung cancer presents a considerable challenge to
healthcare systems worldwide, emphasizing the critical necessity for early and accurate …

Efficient waste management is essential to minimizing environmental harm as well as
encouraging sustainable progress. The escalating volume and sophistication of waste …

Background and motivations Antenatal or prenatal hydronephrosis (AHN) is a common
kidney complication in unborn children. While AHN is generally benign and resolves over …

Liver segmentation technologies play vital roles in clinical diagnosis, disease monitoring,
and surgical planning due to the complex anatomical structure and physiological functions …

The scientific landscape is constantly evolving, marked by groundbreaking advancements in
imaging, sensing, and machine learning that expand the realms of possibility across various …

Purpose: To introduce a deep learning model capable of multi-organ segmentation in MRI
scans, offering a solution to the current limitations in MRI analysis due to challenges in …