Automatic mass segmentation on mammograms combining random walks and active contour

@article{Hao2012AutomaticMS,
  title={Automatic mass segmentation on mammograms combining random walks and active contour},
  author={Xin Hao and Ye Shen and Shun-ren Xia},
  journal={Journal of Zhejiang University SCIENCE C},
  year={2012},
  volume={13},
  pages={635-648}
}
Accurate mass segmentation on mammograms is a critical step in computer-aided diagnosis (CAD) systems. It is also a challenging task since some of the mass lesions are embedded in normal tissues and possess poor contrast or ambiguous margins. Besides, the shapes and densities of masses in mammograms are various. In this paper, a hybrid method combining a random walks algorithm and Chan-Vese (CV) active contour is proposed for automatic mass segmentation on mammograms. The data set used in this… CONTINUE READING
13 Extracted Citations
35 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 13 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 35 references

Sennett

  • Y. Yuan, M. L. Giger, H. Li, K. Suzuki
  • C.,
  • 2007
Highly Influential
4 Excerpts

Cancer Facts & Figures 2011

  • J. E. Ball, L. M. Bruce
  • 2011

A review of automatic mass

  • E.R.E, R. Zwiggelaar
  • 2010

Similar Papers

Loading similar papers…