• Marek Ustymowicz
  • Mariusz Nieniewski
Part of the Computational Imaging and Vision book series (CIVI, volume 32)


Detection of microcalcifications (MCs) in mammograms for early breast cancer diagnosing is a widely investigated subject. A number of methods have been tried out so far, but obtained results are still not satisfactory. To avoid difficulties with comparisons of our results with others’, we present results obtained on mammograms from the Digital Database for Screening Mammography (DDSM), provided by the University of South Florida. In this study, a novel approach to MCs detection based on mathematical morphology is presented. A combination of methods is used for the detection of MCs. The evaluation of the proposed technique is done using a free-response operating characteristic (FROC). Our results demonstrate that the MCs can be effectively detected by the proposed approach.


Gray Level Binary Image Digital Mammography Mathematical Morphology Digital Mammogram 
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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Copyright information

© Springer 2006

Authors and Affiliations

  • Marek Ustymowicz
    • 1
  • Mariusz Nieniewski
    • 2
  1. 1.Technical University of BialystokBialystokPOLAND
  2. 2.Institute of Fundamental Technological Research, PASWarsawPOLAND

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