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Local and Global Fractal Behaviour in Mammographic Images

  • Ido ZachevskyEmail author
  • Yehoshua Y. Zeevi
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)

Abstract

Breast cancer is the most common cancer among women. Most studies attempt to perform segmentation of tumors highlighted in mammogaphic images, or analyze the contours of tumors for classification purposes. Successful segmentation and classification of tumors can assist physicians in revealing suspicious regions or masses, or in differentiating malignant from benign tumors by mammography. However, relevant studies do not focus on the tumor surface statistics for the purpose of clustering and/or classification. In this work, we present a statistical, fractal-based approach, for the analysis of annotated tumors, reduced from the DDSM database. We explore local and global fractal properties, obtained from the tumor surface, and present preliminary results on the properties of benign and malignant tumors.

Keywords

Mammography Stochastic textures Texture analysis Medical image processing 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Technion - Israel Institute of TechnologyHaifaIsrael

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