Journal
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume 38, Issue 1, Pages 26-30Publisher
PETER PEREGRINUS LTD
DOI: 10.1007/BF02344684
Keywords
impedance spectroscopy; tissue characterisation; data classification; discriminant analysis; breast cancer
Ask authors/readers for more resources
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 similar to 92% with carcinoma discrimination >86%.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available