A novel computer aided breast mass detection scheme based on morphological enhancement and SLIC superpixel segmentation.

@article{Chu2015ANC,
  title={A novel computer aided breast mass detection scheme based on morphological enhancement and SLIC superpixel segmentation.},
  author={Jinghui Chu and Hang Min and Li Liu and Wei Lu},
  journal={Medical physics},
  year={2015},
  volume={42 7},
  pages={
          3859-69
        }
}
PURPOSE To develop a computer-aided detection (CAD) scheme for mass detection on digitized mammograms that achieves a high sensitivity while maintaining a low false positive (FP) rate using morphological enhancement and simple linear iterative clustering (SLIC) method. METHODS The authors developed a multiple stage method for breast mass detection. The proposed CAD scheme consists of five major components: (1) preprocessing based on morphological enhancement, which enhances mass-like patterns… CONTINUE READING
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Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology

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Traditional and Deep Learning Based Methods for Mammographic Image Analysis

  • 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
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Multi-scale mass segmentation for mammograms via cascaded random forests

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
  • 2017
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