A fully automated complete segmentation scheme for mammograms

@article{Tzikopoulos2009AFA,
  title={A fully automated complete segmentation scheme for mammograms},
  author={Stylianos D. Tzikopoulos and Harris V. Georgiou and Michael E. Mavroforakis and Nikos Dimitropoulos and Sergios Theodoridis},
  journal={2009 16th International Conference on Digital Signal Processing},
  year={2009},
  pages={1-6}
}
This paper presents a fully automated complete segmentation method for mammographic images. Image preprocessing techniques are first applied to mammograms to remove the noise and then a breast boundary extraction algorithm is implemented, in order to distinguish breast tissue from the background. Next, an improved version of an existing pectoral muscle scheme is performed and a new nipple segmentation technique is applied, detecting the nipple when it is in profile. This improves the estimated… CONTINUE READING
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