Breast Cancer Detection using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7615
- @InProceedings{conf/biostec/GuoZN08,
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title = "Breast Cancer Detection using Genetic Programming",
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author = "Hong Guo and Qing Zhang and Asoke K. Nandi",
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bibdate = "2008-04-10",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/biostec/biosignals2008-2.html#GuoZN08",
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booktitle = "Proceedings of the First International Conference on
Biomedical Electronics and Devices, BIOSIGNALS 2008",
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publisher = "INSTICC - Institute for Systems and Technologies of
Information, Control and Communication",
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year = "2008",
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editor = "Pedro Encarna{\c c}{\~a}o and Ant{\'o}nio Veloso",
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isbn13 = "978-989-8111-18-0",
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pages = "334--341",
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volume = "2",
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address = "Funchal, Madeira, Portugal",
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month = jan # " 28-31",
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keywords = "genetic algorithms, genetic programming",
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URL = "https://www2.lirmm.fr/lirmm/interne/BIBLI/CDROM/MIC/2008/BIOSTEC_2008/BIOSTEC%202008/Biosignals/Volume%202/Short%20Papers/C1_094_Nandi.pdf",
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size = "8 pages",
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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: The Kernel Principal Component
Analysis (KPCA) and Kernel Generalised Discriminant
Analysis (KGDA). Results demonstrate the capability of
this method to transform information from high
dimensional feature space into one dimensional space
for breast cancer diagnosis.",
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notes = "http://www.biosignals.biostec.org/Abstracts/2008/BIOSIGNALS_2008_Abstracts.htm",
- }
Genetic Programming entries for
Hong Guo
Qing Zhang
Asoke K Nandi
Citations