DIVERSITY-BASED CLASSIFIER SELECTION FOR BREAST CANCER CYTOLOGICAL IMAGE ANALYSIS

@inproceedings{Krawczyk2014DIVERSITYBASEDCS,
  title={DIVERSITY-BASED CLASSIFIER SELECTION FOR BREAST CANCER CYTOLOGICAL IMAGE ANALYSIS},
  author={Bartosz Krawczyk and Paweł Filipczuk and Michał Andrzej Woźniak and Andrzej Obuchowicz},
  year={2014}
}
The article presents an application of combined classifier in the medical decision support system for breast cancer diagnosis. Apart from the canonical malignant vs. non-malignant problem we introduced a third class — fibroadenoma, which is a benign tumor of the breast often occurring in women. Medical images are delivered by the Regional Hospital in Zielona Gora, Poland. For the process of segmentation and feature extraction, adaptive thresholding and competitive neural networks are used. To… CONTINUE READING