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Classification of breast tissue by electrical impedance spectroscopy

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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%.

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Authors and Affiliations

  1. INEB (Instituto de Engenharia Biomédica), Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

    J. Estrela da Silva &  J. P. Marques de Sá

  2. INSERM (Institut National de la Santé et de la Recherche Médicale), Lyon, France

    J. Jossinet

Authors
  1. J. Estrela da Silva
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  2. J. P. Marques de Sá
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  3. J. Jossinet
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Correspondence to J. P. Marques de Sá.

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Estrela da Silva, J., Marques de Sá, J.P. & Jossinet, J. Classification of breast tissue by electrical impedance spectroscopy. Med. Biol. Eng. Comput. 38, 26–30 (2000). https://doi.org/10.1007/BF02344684

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  • DOI: https://doi.org/10.1007/BF02344684

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