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An Automatic Scheme to Breast Region Segmentation

  • Mouloud Adel
  • Monique Rasigni
  • Georges Rasigni
  • Brigitte Seradour
  • Patrice Heid
Conference paper

Abstract

An automatic scheme for breast region segmentation is presented. It is based on global automatic thresholding, region growing and merging. Thirty digitized mammograms including different kinds of breast parenchymal patterns were used for this study: 14 as training set and the remaining 16 others as testing set. The segmentation results are compared to those obtained manually by radiologists. The method achieved good results in the case of mammograms where the pectoral muscle was separated from the fibroglandular region. In the other cases, a fitting model was applied in order to get rid of the pectoral muscle. The segmentation results were still valid.

Keywords

Gray Level Segmentation Result Digital Mammography Initial Seed Pectoral Muscle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Miller, P., Astley, S.: Automated detection of mammographie asymetry using anatomical features. Int. Jour. Patt. Recog. Artif. Intel. 7 (6) (1993) 1461–1476CrossRefGoogle Scholar
  2. 2.
    Chandrasekhar, R., Attikiouzel, Y.: A simple method for automatically locating the nipple on mammograms. IEEE Trans. Med. Imag. 16 (5) (1997) 483–494CrossRefGoogle Scholar
  3. 3.
    Karssemeijer, N.: Automated classification of parenchymal patterns in mammograms. Phys. Med. Biol. 43 (1998) 365–378PubMedCrossRefGoogle Scholar
  4. 4.
    Ferrari, R.J., Rangayyan, R.M., Desautel, J.E.L., Frère, A.F.: Segmentation of Mammograms: Identification of the Skin-Air Boundary, Pectoral Muscle, and Fibroglandular Disc. Proceeding of Int. Work. Digit. Mammography June 2000 Toronto Canada. Medical Physics Publishing Madison Wisconsin (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Mouloud Adel
    • 1
  • Monique Rasigni
    • 1
  • Georges Rasigni
    • 1
  • Brigitte Seradour
    • 2
  • Patrice Heid
    • 2
  1. 1.Faculté des Sciences et Techniques de Saint JérômeINTERFACE PHYSIQUE - BIOLOGIE – MEDECINEMarseille cedex 20France
  2. 2.Hôpital de la TimoneARCADESMarseille cedex 5France

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