A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation

@article{Eltoukhy2012ASB,
  title={A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation},
  author={Mohamed Meselhy Eltoukhy and Ibrahima Faye and Brahim Belhaouari Samir},
  journal={Computers in biology and medicine},
  year={2012},
  volume={42 1},
  pages={123-8}
}
This paper presents a method for breast cancer diagnosis in digital mammogram images. Multi-resolution representations, wavelet or curvelet, are used to transform the mammogram images into a long vector of coefficients. A matrix is constructed by putting wavelet or curvelet coefficients of each image in row vector, where the number of rows is the number of images, and the number of columns is the number of coefficients. A feature extraction method is developed based on the statistical t-test… CONTINUE READING

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