Cost-sensitive ensemble classifiers for microwave breast cancer detection

Yunpeng Li; Adam Santorelli; Olivier Laforest; Mark Coates

ICASSP 2015accepted0 citations

Cost-sensitive ensemble classifiers for microwave breast cancer detection

Yunpeng Li, Adam Santorelli, Olivier Laforest, Mark Coates

Abstract

Microwave breast cancer detection involves analysing the scattered waveforms of microwave signals that are propagated into the breast. We have developed a microwave-radar time-domain system and performed clinical trials using a prototype. This paper presents a classification architecture based on cost-sensitive support vector machines that is designed to process the signals measured by the 16-element multi-static antenna array. We examine the performance of the classifier by applying it to measurements performed on tissue-mimicking breast phantoms.

BibTeX

@inproceedings{icassp2015_costsensitiveens,
  title = {Cost-sensitive ensemble classifiers for microwave breast cancer detection},
  author = {Yunpeng Li and Adam Santorelli and Olivier Laforest and Mark Coates},
  booktitle = {ICASSP 2015},
  year = {2015}
}