Breast tumor classification via single-frequency microwave imaging

Cuong Manh Do; Rajeev Bansal

doi:10.1117/12.2016171

23 May 2013 Breast tumor classification via single-frequency microwave imaging

Cuong Manh Do, Rajeev Bansal

Proceedings Volume 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII; 87451X (2013) https://doi.org/10.1117/12.2016171
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

We propose a novel method for the classification of breast tumors (malignant versus benign) based on principal component analysis (PCA) following single-frequency microwave imaging. For initial evaluation, a simplified model of the biological tissue was developed in a frequency-domain finite-element framework. The model incorporated various combinations of dielectric constant and conductivity. A double-level classification scheme allows classifying a tumor with high accuracy.

Citation Download Citation

Cuong Manh Do and Rajeev Bansal "Breast tumor classification via single-frequency microwave imaging", Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87451X (23 May 2013); https://doi.org/10.1117/12.2016171

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