Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies

@article{Jelen2016InfluenceOF,
  title={Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies},
  author={L. Jelen and A. Krzyżak and T. Fevens and M. Jelen},
  journal={Computers in biology and medicine},
  year={2016},
  volume={79},
  pages={
          80-91
        }
}
Grading of breast cancer malignancy is a key step in its diagnosis, which in turn helps to determine its prognosis and a course of treatment. In this paper, we consider the application of pattern recognition and image processing techniques to perform computer-assisted automatic breast cancer malignancy grading from cytological slides of fine needle aspiration biopsies. To determine a classification of the malignancy of the slide, a feature set is first determined from imagery of the slides. In… Expand
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