Hybrid Subspace Fusion for Microcalcification Clusters Detection

@article{Zhang2015HybridSF,
  title={Hybrid Subspace Fusion for Microcalcification Clusters Detection},
  author={Xinsheng Zhang and Hongyan He and Naining Cao and Zhengshan Luo},
  journal={Journal of Fiber Bioengineering and Informatics},
  year={2015},
  volume={8}
}
Early detection of breast cancer, a significant public health problem in the world, is the key for improving breast cancer early prognosis. Mammography is considered the most reliable and widely used diagnostic technique for early detection of breast cancer. However, it is difficult for radiologists to perform both accurate and uniform evaluation for the enormous mammograms with widespread screening. Microcalcification clusters is one of the most important clue of the breast cancer, and their… 
Grouped fuzzy SVM with EM-based partition of sample space for clustered microcalcification detection.
  • Huiya Wang, Jun Feng, Hongyu Wang
  • Computer Science, Medicine
    Technology and health care : official journal of the European Society for Engineering and Medicine
  • 2017
TLDR
Experimental results demonstrate that the integrated classification framework incorporates the merits of fuzzy SVM and multi-pattern sample space learning, decomposing the MC detection problem into serial simple two-class classification.

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