Breast Tissue Classification based on Electrical Impedance Spectroscopy

The physiopathology state of human breast tissue can be reflected by the electrical impedance spectral characteristics. In this paper, breast tissue classification based on the electrical impedance spectral characteristics was proposed for the breast disease diagnosis in the early stage. 9 breast tissue characteristics were obtained by measuring the electrical impedance spectra of the breast tissue which is collected in vitro and fresh, and then the breast tissue can be classified by the support vector machine. The experimental results show that this method can classify the breast tissue effectively with accuracy in more than 80%. Particularly, the classification accuracy of breast cancer and fatty tissue are close to 100%.