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Breast Cancer Segmentation Method in Ultrasound Images

  • Marta GalińskaEmail author
  • Weronika Ogiegło
  • Agata Wijata
  • Jan Juszczyk
  • Joanna Czajkowska
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 623)

Abstract

The most common type of cancer among women is breast cancer. The early diagnosis is crucial in a treatment process. The radiology support system in the diagnostic process allows faster and more accurate radiographic contouring. The aim of the paper is to present a new method for ultrasound image segmentation of breast lesions. The segmentation technique is based on active contour models whereas anisotropic diffusion is used for preprocessing. The Dice Index calculated in most of analyzed cases was greater than 80%. Delineation of the tumor can also be used to calculate the size and volume automatically, and shortened the time of the diagnosis.

Keywords

US image segmentation active contour breast cancer 

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Notes

Acknowledgements

This research was supported by the Polish Ministry of Science and Silesian University of Technology statutory financial support for young researchers BKM-510/RAu-3/2017. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the abstract.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Marta Galińska
    • 1
    Email author
  • Weronika Ogiegło
    • 2
  • Agata Wijata
    • 2
  • Jan Juszczyk
    • 2
  • Joanna Czajkowska
    • 2
  1. 1.Faculty of Automatic Control, Electronics and Computer ScienceSilesian University of TechnologyGliwicePoland
  2. 2.Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland

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