



@article {2563,
	title = {Classification of breast tissue by electrical impedance spectroscopy},
	journal = {Medical and Biological Engineering and ComputingMed. Biol. Eng. Comput.},
	volume = {38},
	year = {2000},
	note = {Cited By (since 1996): 42Export Date: 21 November 2012Source: ScopusCODEN: MBECDPubMed ID: 10829386Language of Original Document: EnglishCorrespondence Address: Marques de Sa, J.P.; INEB, Facul. Engenharia Universidade Porto, Porto, Portugal; email: jmsa@fe.op.ptReferences: Brown, B.H., Barber, D.C., Morice, A.H., Leathard, A.D., Cardiac and respiratory related electrical impedance changes in the human thorax (1994) IEEE Trans. Biomed. Eng., BME-41, pp. 729-734;Campbell, A.M., Land, D.V., Dielectric properties of female breast tissue measured in vitro at 3.2 GHz (1992) Phys. Med. Biol., 37, pp. 193-210; 
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},
	month = {2000///},
	pages = {26 - 30},
	publisher = {Peter Peregrinus Ltd},
	abstract = {Electrical impedance spectroscopy is a minimally invasive technique that has clear advantages for living tissue characterisation owing to its low cost and ease of use. The present paper describes how this technique can be applied to breast tissue classification and breast cancer detection. Statistical analysis is used to derive a set of rules based on features extracted from the graphical representation of electrical impedance spectra. These rules are used hierarchically to discriminate several classes of breast tissue. Results of statistical classification obtained from a data set of 106 cases representing six classes of excised breast tissue show an overall classification efficiency of ~92\% with carcinoma discrimination > 86\%.Electrical impedance spectroscopy is a minimally invasive technique that has clear advantages for living tissue characterization owing to its low cost and ease of use. The present paper describes how this technique can be applied to breast tissue classification and breast cancer detection. Statistical analysis is used to derive a set of rules based on features extracted from the graphical representation of electrical impedance spectra. These rules are used hierarchically to discriminate several classes of breast tissue. Results of statistical classification obtained from a data set of 106 cases representing six classes of excised breast tissue show an overall classification efficiency of approximately 92\% with carcinoma discrimination >86\%.
},
	keywords = {article, Breast, breast cancer, Breast Neoplasms, cancer classification, Data classification, Discriminant Analysis, Electric Impedance, Electrical impedance spectroscopy, Electrodiagnosis, Feature extraction, Female, human, Humans, impedance, Impedance spectroscopy, major clinical study, Medical imaging, Signal Processing, Computer-Assisted, Spectroscopy, Statistical analysis, Statistical methods, Tissue, Tissue characterisation},
	isbn = {01400118 (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0033962139\&partnerID=40\&md5=1510d493688d338d985aad2a31d1caeb},
	author = {Estrela Da Silva, J. and Marques De S{\'a}, J.P. and Jossinet, J.}
}
