Effective multiple classifier systems for breast thermogram analysis

@article{Krawczyk2012EffectiveMC,
  title={Effective multiple classifier systems for breast thermogram analysis},
  author={Bartosz Krawczyk and Gerald Schaefer},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year={2012},
  pages={3345-3348}
}
Breast cancer is the most commonly diagnosed form of cancer in women. Thermography, which uses cameras with sensitivities in the thermal infrared, has been shown to provide an interesting modality for detecting breast cancer as it is able to detect small tumors and hence can lead to earlier diagnosis. In this paper, we present an effective approach to breast thermogram analysis that utilises features describing bilateral symmetries from an image, and utilises a classifier ensemble for decision… CONTINUE READING

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