Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution

@article{Pak2015BreastCD,
  title={Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution},
  author={Fatemeh Pak and Hamidreza Rashidy Kanan and Afsaneh Alikhassi},
  journal={Computer methods and programs in biomedicine},
  year={2015},
  volume={122 2},
  pages={89-107}
}
Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast cancer. In this paper, a new algorithm is proposed for breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution (SR). The presented algorithm includes three main parts… CONTINUE READING
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