Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …

Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …

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 …

Automatic segmentation of blood vessels in fundus images is of great importance as eye
diseases as well as some systemic diseases cause observable pathologic modifications. It is …

The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …

Heart disease is the number one killer in the United States, and finding indicators of the
disease at an early stage is critical for treatment and prevention. In this paper we evaluate …

A multiple hypothesis tracking approach to the segmentation of small 3D vessel structures is
presented. By simultaneously tracking multiple hypothetical vessel trajectories, low contrast …

In many areas of medicine, visualization research can help with task simplification,
abstraction or complexity reduction. A common visualization approach is to facilitate …

Abstract Segmentation of Blood Vessel is a challenging mission in medical image
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …