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Breast Tissue Data Set
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Abstract: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.

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JP Marques de Sá, INEB-Instituto de Engenharia Biomédica, Porto, Portugal; e-mail: jpmdesa '@'
J Jossinet, inserm, Lyon, France

Data Set Information:

Impedance measurements were made at the frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz
Impedance measurements of freshly excised breast tissue were made at the follwoing frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz. These measurements plotted in the (real, -imaginary) plane constitute the impedance spectrum from where the breast tissue features are computed.
The dataset can be used for predicting the classification of either the original 6 classes or of 4 classes by merging together the fibro-adenoma, mastopathy and glandular classes whose discrimination is not important (they cannot be accurately discriminated anyway).

Attribute Information:

I0 Impedivity (ohm) at zero frequency
PA500 phase angle at 500 KHz
HFS high-frequency slope of phase angle
DA impedance distance between spectral ends
AREA area under spectrum
A/DA area normalized by DA
MAX IP maximum of the spectrum
DR distance between I0 and real part of the maximum frequency point
P length of the spectral curve
Class car(carcinoma), fad (fibro-adenoma), mas (mastopathy), gla (glandular), con (connective), adi (adipose). The

Relevant Papers:

Jossinet J (1996) Variability of impedivity in normal and pathological breast tissue. Med. & Biol. Eng. & Comput, 34: 346-350.
Silva JE, Marques de Sá JP, Jossinet J (2000) Classification of Breast Tissue by Electrical Impedance Spectroscopy. Med & Bio Eng & Computing, 38:26-30.

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