Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …

Abstract Magnetic Resonance Imaging (MRI), a reference examination for cardiac
morphology and function in humans, allows to image the cardiac right ventricle (RV) with …

Deep convolutional neural networks have been widely used for medical image
segmentation due to their superiority in feature learning. Although these networks are …

In experimental analysis and computer‐aided design sustain scheme, segmentation of cell
liver and hepatic lesions by an automated method is a significant step for studying the …

Liver cancer is one of the most common cancer types with high death rate. Doctors diagnose
cancer by examining the CT images, which can be time-consuming and prone to error …

Computed tomography (CT) imaging remains the most utilized modality for liver-related
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …

The segmentation of the liver is a difficult process due to the changes in shape, border, and
density that occur in each section in computed tomography (CT) images. In this study, the …

Many approaches for image segmentation rely on a first low-level segmentation step, where
an image is partitioned into homogeneous regions with enforced regularity and adherence …

The paper presents the automated computation of hepatic tumor burden from abdominal
computed tomography (CT) images of diseased populations with images with inconsistent …

The growing demand for sustainable and energy-efficient buildings has highlighted the
need for reliable and accurate methods to detect fenestration deterioration and assess UV …