• DOI:10.1007/978-3-642-33564-8_58
Corpus ID: 29911381

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data

@inproceedings{Krawczyk2012OversamplingMF,
  title={Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data},
  author={B. Krawczyk and L. Jelen and A. Krzyżak and T. Fevens},
  booktitle={ICCVG},
  year={2012}
}

• B. Krawczyk, L. Jelen, +1 author T. Fevens
• Published in ICCVG 2012
• Computer Science

During breast cancer malignancy grading the main problem that has direct influence on the classification is imbalanced number of cases of the malignancy classes. This poses a challenge for pattern recognition algorithms and leads to a significant decrease of the classification accuracy for the minority class. In this paper we present an approach which ameliorates such a problem. We describe and compare several state of the art methods, that are based on the oversampling approach, i.e… Expand

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