Classification of breast tissue by electrical impedance spectroscopy

Electrical impedance spectroscopy is a minimally invasive technique that ha s clear advantages for living tissue characterisation owing to its low cost and ease of use. The present paper describes how this technique can be app lied to breast tissue classification and breast cancer detection. Statistic al analysis is used to derive a set of rules based on features extracted fr om the graphical representation of electrical impedance spectra. These rule s are used hierarchically to discriminate several classes of breast tissue. Results of statistical classification obtained from a data set of 106 case s representing six classes of excised breast tissue show an overall classif ication efficiency of similar to 92% with carcinoma discrimination >86%.