Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments

@article{He2011MammographicIS,
  title={Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments},
  author={Wenda He and Erika R. E. Denton and Kirsten Stafford and Reyer Zwiggelaar},
  journal={Biomed. Signal Proc. and Control},
  year={2011},
  volume={6},
  pages={321-329}
}
Mammographic risk assessment is becoming increasingly important in decision making in screening mammography and computer aided diagnosis systems. Strong evidence shows that characteristic patterns of breast tissue as seen in mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation of the characteristic mixture of breast tissue can be used both for the estimation of mammographic risk assessment, as well as for… CONTINUE READING
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