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Plaque Classification

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Ultrasound and Carotid Bifurcation Atherosclerosis

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Abstract

This chapter presents several classification techniques that could be used in computer-aided systems for the automated characterization of carotid plaques and the identification of individuals with asymptomatic carotid stenosis at increased risk of stroke.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Frederick University Cyprus, Lemesos, Cyprus

    Efthyvoulos Kyriacou

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Christodoulos I. Christodoulou

  3. Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USA

    Marios S. Pattichis

  4. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Constantinos S. Pattichis

  5. Department of Vascular Surgery, University of Patras Medical School, Patras, Achaia, Greece

    Stavros K. Kakkos

Authors
  1. Efthyvoulos Kyriacou
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  2. Christodoulos I. Christodoulou
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  3. Marios S. Pattichis
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  4. Constantinos S. Pattichis
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  5. Stavros K. Kakkos
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Editor information

Editors and Affiliations

  1. Imperial College, London, W2 1PG, United Kingdom

    Andrew Nicolaides

  2. , Dept. Surgery, University of Washington, Seattle, 98195-6410, Washington, USA

    Kirk W. Beach

  3. Dept. Computer Science, University of Cyprus, Kallipoleos Street 75, Nicosia, 1678, Cyprus

    Efthivoulos Kyriacou

  4. Dept. Computer Science, University of Cyprus, Kallipoleos Street 75, Nicosia, 1678, Cyprus

    Constantinos S. Pattichis

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© 2011 Springer-Verlag London Limited

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Kyriacou, E., Christodoulou, C.I., Pattichis, M.S., Pattichis, C.S., Kakkos, S.K. (2011). Plaque Classification. In: Nicolaides, A., Beach, K., Kyriacou, E., Pattichis, C. (eds) Ultrasound and Carotid Bifurcation Atherosclerosis. Springer, London. https://doi.org/10.1007/978-1-84882-688-5_15

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  • DOI: https://doi.org/10.1007/978-1-84882-688-5_15

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-687-8

  • Online ISBN: 978-1-84882-688-5

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