Mass Description for Breast Cancer Recognition

  • Imene Cheikhouhou
  • Khalifa Djemal
  • Hichem Maaref
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)


In this paper, we present a robust shape descriptor named the Mass Descriptor based on Occurrence intersection coding (MDO) using the contour fluctuation detection. This descriptor allows a good characterization of the breast lesions and so a good classification performance. The efficiency of the proposed descriptor is evaluated on known Digital Database for Screening Mammography DDSM using the area under the Receiver Operating Characteristics (ROC) curve analysis. Results show that the specified descriptor has proven its performance in breast mass recognition using Support Vector Machine (SVM) classifier.


Support Vector Machine Digital Database Benign Mass Radial Length Occurrence Number 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Imene Cheikhouhou
    • 1
  • Khalifa Djemal
    • 1
  • Hichem Maaref
    • 1
  1. 1.IBISC LaboratoryEvry Val d’Essonne UniversityEvryFrance

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