Classification of breast tissue by electrical impedance spectroscopy
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. Statistic...
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Veröffentlicht in: | Medical & biological engineering & computing 2000, Vol.38 (1), p.26-30 |
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description | 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 approximately 92% with carcinoma discrimination > 86%. |
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P ; JOSSINET, J</creator><creatorcontrib>ESTRELA DA SILVA, J ; MARQUES DE SA, J. P ; JOSSINET, J</creatorcontrib><description>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 approximately 92% with carcinoma discrimination > 86%.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/bf02344684</identifier><identifier>PMID: 10829386</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Biological and medical sciences ; Breast cancer ; Breast Neoplasms - diagnosis ; Classification ; Discriminant Analysis ; Electric Impedance ; Electrodiagnosis - methods ; Feature extraction ; Female ; Genital system. Mammary gland ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Pathology. Cytology. Biochemistry. Spectrometry. 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P</creatorcontrib><creatorcontrib>JOSSINET, J</creatorcontrib><title>Classification of breast tissue by electrical impedance spectroscopy</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><description>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 approximately 92% with carcinoma discrimination > 86%.</description><subject>Biological and medical sciences</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Classification</subject><subject>Discriminant Analysis</subject><subject>Electric Impedance</subject><subject>Electrodiagnosis - methods</subject><subject>Feature extraction</subject><subject>Female</subject><subject>Genital system. Mammary gland</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. 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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%.</abstract><cop>Heidelberg</cop><pub>Springer</pub><pmid>10829386</pmid><doi>10.1007/bf02344684</doi><tpages>5</tpages></addata></record> |
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subjects | Biological and medical sciences Breast cancer Breast Neoplasms - diagnosis Classification Discriminant Analysis Electric Impedance Electrodiagnosis - methods Feature extraction Female Genital system. Mammary gland Humans Investigative techniques, diagnostic techniques (general aspects) Medical sciences Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques Signal Processing, Computer-Assisted Spectroscopy Spectrum analysis Statistical methods Tissue |
title | Classification of breast tissue by electrical impedance spectroscopy |
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