Proceedings Paper
Breast tumor classification via single-frequency microwave imaging| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 23 May 2013
PDF: 6 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87451X (23 May 2013); doi: 10.1117/12.2016171
Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)
PDF: 6 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87451X (23 May 2013); doi: 10.1117/12.2016171
Show Author Affiliations
Cuong Manh Do, Univ. of Connecticut (United States)
Rajeev Bansal, Univ. of Connecticut (United States)
Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)
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