Retinal Vessels Segmentation Using Supervised Classifiers for  Identification of Cardio Vascular Diseases

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1

Abstract

 The risk of cardio vascular diseases can be identified by measuring the retinal blood vessel. The identification of wrong blood vessel may result in wrong clinical diagnosis. This proposed system addresses the  problem of identifying the true vessel by vascular structure segmentation. In this proposed model the segmented  vascular structure is modelled as a vessel segment graph and the true vessels are identified by using supervised  classifier approach. This paper proposes a post processing step in diagnose cardiovascular diseases which can  be identified by tracking a true vessel from the optimal forest in the graph given a set on constraints

Authors and Affiliations

R. Mahadevan

Keywords

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  • EP ID EP93911
  • DOI -
  • Views 101
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How To Cite

R. Mahadevan (2014).  Retinal Vessels Segmentation Using Supervised Classifiers for  Identification of Cardio Vascular Diseases. IOSR Journals (IOSR Journal of Computer Engineering), 16(1), 13-16. https://europub.co.uk/articles/-A-93911