New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data

Walker H. Land Jr., John J. Heine, Thomas Raway, Alda Mizaku, Nataliya Kovalchuk, Jack Y. Yang, Mary Qu Yang. New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data. I. J. Functional Informatics and Personalised Medicine, 1(2):111-139, 2008. [doi]

@article{LandHRMKYY08,
  title = {New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data},
  author = {Walker H. Land Jr. and John J. Heine and Thomas Raway and Alda Mizaku and Nataliya Kovalchuk and Jack Y. Yang and Mary Qu Yang},
  year = {2008},
  doi = {10.1504/IJFIPM.2008.020183},
  url = {http://dx.doi.org/10.1504/IJFIPM.2008.020183},
  tags = {classification},
  researchr = {https://researchr.org/publication/LandHRMKYY08},
  cites = {0},
  citedby = {0},
  journal = {I. J. Functional Informatics and Personalised Medicine},
  volume = {1},
  number = {2},
  pages = {111-139},
}