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Breast Lesion Segmentation Method Using Ultrasound Images

  • Agata WijataEmail author
  • Bartłomiej Pyciński
  • Marta Galińska
  • Dominik Spinczyk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 925)

Abstract

Breast cancer is one of the leading causes of death among women. A non-invasive ultrasound examination enables the location and type of lesion. The radiologist, based on the 2D ultrasound image, estimates the volume of the lesion and performs a core needle biopsy procedure. The lesion segmentation may support the diagnostic and therapeutic process. The purpose of this study is to develop a method of breast tumor segmentation using two-dimensional ultrasound images. The lesion mask is based on the fusion of several methods. The proposed method employs active contour models, gradient vector flow, region growing, thresholding, image gradient, watershed transform and morphological operations. The effectiveness of the method was checked with Dice, Jaccard and specificity coefficients. Median values were 0.915, 0.862 and 0.996, respectively.

Keywords

Breast ultrasound Breast lesion Ultrasound image segmentation Image processing 

Notes

Acknowledgements

This research was partially supported by the Polish National Centre for Research and Development (NCBR), grant no. STRATEGMED2 /267398/3/NCBR/2015.

The authors would also like to thank Andre Woloshuk for his English language corrections.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Agata Wijata
    • 1
    Email author
  • Bartłomiej Pyciński
    • 1
  • Marta Galińska
    • 1
  • Dominik Spinczyk
    • 1
  1. 1.Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland

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