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文章基本信息

  • 标题:Automatic Segmentation of Coronary Artery and Abnormality Detection in Angiographic Images
  • 本地全文:下载
  • 作者:ANU PRABHA. R ; S.S. THAMILSELVI
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 期号:ICETS
  • 页码:528
  • 出版社:S&S Publications
  • 摘要:Coronary Artery Disease (CAD) is thedisease commonly leads to Heart Attack. HeartAttacks are due to the formation of plaque alongthe inner wall of the coronary artery, whichnarrows the arteries and reduces the blood flow tothe heart. In this paper the coronary artery issegmented using Graph cut algorithm, whichincludes vesselness measure, geodesic measure andedge detection by canny edge detector. The imageswhich contains blockages leads to reduced bloodflow in the artery is classified as abnormal imagesortherwise normal by using Support VectorMachine (SVM) classifier.
  • 关键词:Segmentation; Coronary artery;disease; Angiographic image; SVM classifier
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