Risk Detection of Malignant Tumors in Mammograms using Unconventional Computing

@article{VelzquezCruz2014RiskDO,
  title={Risk Detection of Malignant Tumors in Mammograms using Unconventional Computing},
  author={Jes{\'u}s Emmanuel Vel{\'a}zquez-Cruz and Itzam{\'a} L{\'o}pez-Y{\'a}{\~n}ez and Amadeo Jos{\'e} Arg{\"u}elles-Cruz and Cornelio Y{\'a}{\~n}ez-M{\'a}rquez},
  journal={Research in Computing Science},
  year={2014},
  volume={78},
  pages={55-66}
}
In this paper, we propose the use of Alpha-Beta associative approach as an Unconventional Computing method in the pre-diagnosis of malignant tumors of breast cancer, obtaining an accurate result in a simple way; trying to avoid invasive diagnostic methods like biopsies, as far as possible. This proposal provides for the Alpha-Beta Support Vector Associative… CONTINUE READING