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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 pp 222–227Cite as

Computer Aided Diagnosis of Mammographic Tissue Using Shapelets in Quaternionic Representation

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 57))

Abstract

In this paper a robust regions-of-suspicion (ROS) diagnosis system on mammograms, recognizing all types of abnormalities is presented and evaluated. A new type of descriptors, based on Shapelet decomposition, estimate the source images that generate the observed ROS in mammograms. The Shapelet decomposition coefficients can be used to efficiently detect ROS areas using a new classifier base on quaternionic representation. Extensive experiments using the Mammographic Image Analysis Society (MIAS) database have shown high recognition accuracy over 86% for all kinds of breast, with less computational cost.

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Author information

Authors and Affiliations

  1. Wired Communications Lab, Electrical and Computer Engineering Department, University of Patras, Campus, 6th Eratoshenous Street, 26500, Patras, Greece

    George Apostolopoulos, Athanasios Koutras, Ioanna Christoyianni & Evaggelos Dermatas

  2. Informatics and Mass Media Department, Technical Educational Institute of Western Greece, Patras, Greece

    Athanasios Koutras

Authors
  1. George Apostolopoulos
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  2. Athanasios Koutras
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  3. Ioanna Christoyianni
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  4. Evaggelos Dermatas
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Corresponding author

Correspondence to George Apostolopoulos .

Editor information

Editors and Affiliations

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

    Efthyvoulos Kyriacou

  2. Biomedical Research Foundation, Nicosia, Cyprus

    Stelios Christofides

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

    Constantinos S. Pattichis

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© 2016 Springer International Publishing Switzerland

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Apostolopoulos, G., Koutras, A., Christoyianni, I., Dermatas, E. (2016). Computer Aided Diagnosis of Mammographic Tissue Using Shapelets in Quaternionic Representation. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_45

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

  • eBook Packages: EngineeringEngineering (R0)

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