Vascular diseases are among the most important public health problems in developed
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …

Vessel segmentation algorithms are the critical components of circulatory blood vessel
analysis systems. We present a survey of vessel extraction techniques and algorithms. We …

We present a method for automated segmentation of the vasculature in retinal images. The
method produces segmentations by classifying each image pixel as vessel or nonvessel …

Fine renal artery segmentation on abdominal CT angiography (CTA) image is one of the
most important tasks for kidney disease diagnosis and pre-operative planning. It will help …

Automated segmentation of blood vessels in retinal images can help ophthalmologists
screen larger populations for vessel abnormalities. However, automated vessel extraction is …

Diabetic retinopathy screening involves assessment of the retina with attention to a series of
indicative features, ie, blood vessels, optic disk and macula etc. The detection of changes in …

Vessel tree reconstruction in volumetric data is a necessary prerequisite in various medical
imaging applications. Specifically, when considering the application of automated lung …

This paper presents an improved version of our specific methodology to detect the vessel
tree in retinal angiographies. The automatic analysis of retinal vessel tree facilitates the …

This paper presents an innovative methodology to detect the vessel tree in retinal
angiographies. The automatic analysis of retinal vessel tree facilitates the computation of the …

We present a system for segmenting the human aortic aneurysm in CT angiograms (CTA),
which, in turn, allows measurements of volume and morphological aspects useful for …