Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography

@article{Zyout2015MultiscaleTF,
  title={Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography},
  author={Imad Zyout and Joanna Czajkowska and Marcin Grzegorzek},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2015},
  volume={46 Pt 2},
  pages={95-107}
}
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also for calcification CAD systems which are currently deployed for clinical use. This paper tackles two problems related to reducing the number of false positives in the detection of all lesions and masses, respectively. Firstly, textural patterns of… CONTINUE READING
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