23 May 2013 Breast tumor classification via single-frequency microwave imaging
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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.
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Cuong Manh Do, Cuong Manh Do, Rajeev Bansal, 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); doi: 10.1117/12.2016171; https://doi.org/10.1117/12.2016171
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