Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm

@article{Pereira2014SegmentationAD,
  title={Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm},
  author={Danilo Cesar Pereira and Rodrigo Pereira Ramos and Marcelo Zanchetta do Nascimento},
  journal={Computer methods and programs in biomedicine},
  year={2014},
  volume={114 1},
  pages={88-101}
}
In Brazil, the National Cancer Institute (INCA) reports more than 50,000 new cases of the disease, with risk of 51 cases per 100,000 women. Radiographic images obtained from mammography equipments are one of the most frequently used techniques for helping in early diagnosis. Due to factors related to cost and professional experience, in the last two decades computer systems to support detection (Computer-Aided Detection - CADe) and diagnosis (Computer-Aided Diagnosis - CADx) have been developed… CONTINUE READING
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A review of automatic mass detection and segmentation in mammographic images

  • A. Olivera, J. Freixeneta, +4 authors R. Zwiggelaard
  • Medical Image Analysis 14
  • 2010
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