Density Based Breast Segmentation for Mammograms Using Graph Cut and Seed Based Region Growing Techniques

@article{Saidin2010DensityBB,
  title={Density Based Breast Segmentation for Mammograms Using Graph Cut and Seed Based Region Growing Techniques},
  author={Nafiza Saidin and Umi Kalthum Ngah and Harsa Amylia Mat Sakim and Ding Nik Siong and Mok Kim Hoe and Ibrahim Lutfi Shuaib},
  journal={2010 Second International Conference on Computer Research and Development},
  year={2010},
  pages={246-250}
}
In this work we explore the application of graph cuts and seed based region growing (SBRG) techniques to segment and detect the boundary of different breast tissue regions in mammograms. The graph cut (GC) is applied with multiselection of seed labels to provide the hard constraint, whereas the seeds labels are selected based on user defined. The region growing is applied with multi-selection of threshold and the threshold values are selected based upon histogram. To enhance the representation… CONTINUE READING