Modelling Breast Tissue in Mammograms for Mammographic Risk Assessment

نویسندگان

  • Zhili Chen
  • Erika R. E. Denton
  • Reyer Zwiggelaar
چکیده

We propose to model breast tissue in mammograms covering both density and tissue patterns. The breast tissue density modelling is based on the global density distribution of the breast region. We segment the whole breast region into a number of uniform density sub-regions and construct an overall density model of the breast using the relative proportions of these sub-regions. The breast tissue pattern modelling is based on the local texture appearance, for which we use a texton based approach. The breast tissue models generated in this way can be used for mammographic risk assessment. The evaluation is based on the MIAS database. The classification results show a high agreement with the consensus of three experts according to four BIRADS categories.

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تاریخ انتشار 2011