Computer Aided Diagnosis of Mammographic Tissue Using Shapelets in Quaternionic Representation

  • George ApostolopoulosEmail author
  • Athanasios Koutras
  • Ioanna Christoyianni
  • Evaggelos Dermatas
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)


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.


Shapelets Quaternion Breast cancer Computer-Aided Diagnosis (CAD) Feature extraction 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • George Apostolopoulos
    • 1
    Email author
  • Athanasios Koutras
    • 2
    • 1
  • Ioanna Christoyianni
    • 1
  • Evaggelos Dermatas
    • 1
  1. 1.Wired Communications Lab, Electrical and Computer Engineering DepartmentUniversity of PatrasPatrasGreece
  2. 2.Informatics and Mass Media DepartmentTechnical Educational Institute of Western GreecePatrasGreece

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