Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.

@article{Huo2000ComputerizedCO,
  title={Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.},
  author={Zhimin Huo and Maryellen L. Giger and Carl J. Vyborny and Dulcy E. Wolverton and Charles E. Metz},
  journal={Academic radiology},
  year={2000},
  volume={7 12},
  pages={1077-84}
}
RATIONALE AND OBJECTIVES The purpose of this study was to evaluate the robustness of a computerized method developed for the classification of benign and malignant masses with respect to variations in both case mix and film digitization. MATERIALS AND METHODS The classification method included automated segmentation of mass regions, automated feature-extraction, and automated lesion characterization. The method was evaluated independently with a 110-case database consisting of 50 malignant… CONTINUE READING

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