The segmentation of liver blood vessels is of major importance as it is essential for
formulating diagnoses, planning and delivering treatments, as well as evaluating the results …

Segmentation of curvilinear structures is important in many applications, such as retinal
blood vessel segmentation for early detection of vessel diseases and pavement crack …

Enhancement, followed by segmentation, quantification and modelling of blood vessels in
retinal images plays an essential role in computer-aided retinopathy diagnosis. In this paper …

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

The accurate knowledge of vascular network geometry is crucial for many clinical
applications such as cardiovascular disease diagnosis and surgery planning. Vessel …

Growing interest surrounds the assessment of perivascular spaces (PVS) on magnetic
resonance imaging (MRI) and their validation as a clinical biomarker of adverse brain …

Segmenting portal vein (PV) and hepatic vein (HV) from magnetic resonance imaging (MRI)
scans is important for hepatic tumor surgery. Compared with single phase-based methods …

Delineation of curvilinear structures in images is an important basic step of several image
processing applications, such as segmentation of roads or rivers in aerial images, vessels or …

Vessel enhancement (aka vesselness) filters, are part of angiographic image processing for
more than twenty years. Their popularity comes from their ability to enhance tubular …

Abstract Background Magnetic Resonance Imaging (MRI) visible perivascular spaces (PVS)
have been associated with age, decline in cognitive abilities, interrupted sleep, and markers …