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What is Blood Vessel Extraction

Handbook of Research on Machine Learning Innovations and Trends
An automatic processing step to extract vessels away from image to investigate the existence on some disease.
Published in Chapter:
A Review of Vessel Segmentation Methodologies and Algorithms: Comprehensive Review
Gehad Hassan (Fayoum University, Egypt & Scientific Research Group in Egypt (SRGE), Egypt) and Aboul Ella Hassanien (Cairo University, Egypt & Scientific Research Group in Egypt (SRGE), Egypt)
Copyright: © 2017 |Pages: 17
DOI: 10.4018/978-1-5225-2229-4.ch009
Abstract
“Prevention is better than cure”, true statement which all of us neglect. One of the most reasons which cause speedy recovery from any diseases is to discover it in advanced stages. From here come the importance of computer systems which preserve time and achieve accurate results in knowing the diseases and its first symptoms .One of these systems is retinal image analysis system which considered as a key role and the first step of Computer Aided Diagnosis Systems (CAD). In addition to monitor the patient health status under different treatment methods to ensure How it effects on the disease.. In this chapter the authors examine most of approaches that are used for vessel segmentation for retinal images, and a review of techniques is presented comparing between their quality and accessibility, analyzing and catgrizing them. This chapter gives a description and highlights the key points and the performance measures of each one.
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