Development and evaluation of a case-based reasoning classifier for prediction of breast biopsy outcome with BI-RADS lexicon.

@article{BilskaWolak2002DevelopmentAE,
  title={Development and evaluation of a case-based reasoning classifier for prediction of breast biopsy outcome with BI-RADS lexicon.},
  author={Anna O. Bilska-Wolak and Carey E. Floyd},
  journal={Medical physics},
  year={2002},
  volume={29 9},
  pages={
          2090-100
        }
}
Approximately 70-85% of breast biopsies are performed on benign lesions. To reduce this high number of biopsies performed on benign lesions, a case-based reasoning (CBR) classifier was developed to predict biopsy results from BI-RADS findings. We used 1433 (931 benign) biopsy-proven mammographic cases. CBR similarity was defined using either the Hamming or Euclidean distance measure over case features. Ten features represented each case: calcification distribution, calcification morphology… CONTINUE READING
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