Cancer prognosis using support vector regression in imaging modality.

@article{Du2011CancerPU,
  title={Cancer prognosis using support vector regression in imaging modality.},
  author={Xian Du and Sumeet Dua},
  journal={World journal of clinical oncology},
  year={2011},
  volume={2 1},
  pages={44-9}
}
The proposed techniques investigate the strength of support vector regression (SVR) in cancer prognosis using imaging features. Cancer image features were extracted from patients and recorded into censored data. To employ censored data for prognosis, SVR methods are needed to be adapted to uncertain targets. The effectiveness of two principle breast features, tumor size and lymph node status, was demonstrated by the combination of sampling and feature selection methods. In sampling, breast data… CONTINUE READING