BREAST CANCER DETECTION USING GENETIC PROGRAMMING

Hong Guo, Qing Zhang, Asoke K. Nandi

2008

Abstract

Breast cancer diagnosis have been investigated by different machine learning methods. This paper proposes a new method for breast cancer diagnosis using a single feature generated by Genetic Programming (GP). GP as an evolutionary mechanism that provides a training structure to generate features. The presented approach is experimentally compared with some kernel feature extraction methods: Kernel Principal Component Analysis (KPCA) and Kernel Generalised Discriminant Analysis (KGDA). Results demonstrate the capability of the proposed method to transform information from high dimensional feature space into one dimensional space for breast cancer diagnosis.

Paper Citation

in Harvard Style

Guo H., Zhang Q. and K. Nandi A. (2008). BREAST CANCER DETECTION USING GENETIC PROGRAMMING . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 334-341. DOI: 10.5220/0001059203340341

in Bibtex Style

@conference{biosignals08,
author={Hong Guo and Qing Zhang and Asoke K. Nandi},
title={BREAST CANCER DETECTION USING GENETIC PROGRAMMING},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={334-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001059203340341},
isbn={978-989-8111-18-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - BREAST CANCER DETECTION USING GENETIC PROGRAMMING
SN - 978-989-8111-18-0
AU - Guo H.
AU - Zhang Q.
AU - K. Nandi A.
PY - 2008
SP - 334
EP - 341
DO - 10.5220/0001059203340341