The amount of the future liver remnant volume is fundamental for hepato-biliary surgery,
representing an important potential risk-factor for the development of post-hepatectomy liver …

The integration of artificial intelligence (AI) and augmented realities into the medical field is
being attempted by various researchers across the globe. As a matter of fact, most of the …

Background Proper segmentation of the liver from medical images is critical for computer-
assisted diagnosis, therapy and surgical planning. Knowledge of its vascular structure …

Segmentation of the whole liver in computed tomography (CT) images is important in liver
disease diagnosis. Although the commonly used level set methods (LSMs) and active …

Accurate and reliable segmentation of liver tissue and liver tumor is essential for the follow‐
up of hepatic diagnosis. In this paper, we present a method for liver segmentation and a …

Lung nodule segmentation in CT images and its subsequent volume analysis can help
determine the malignancy status of a lung nodule. While several efficient segmentation …

Developing methods to segment the liver in medical images, study and analyze it remains a
significant challenge. The shape of the liver can vary considerably from one patient to …

Purpose To compare the repeatability, agreement, and efficiency of MRI-and CT-based
semiautomated liver segmentation for the assessment of total and subsegmental liver …

Liver segmentation is considered as a challenge task, and accurate and reliable
segmentation of liver is essential of the follow-up of liver treatment. In this paper, a novel …

Biopsies for diagnosis can sometimes be replaced by non-invasive techniques such as CT
and MRI. Surgeons require accurate and efficient methods that allow proper segmentation of …