Support Vector Machines for the Classification of Early-Stage Breast Cancer Based on Radar Target Signatures
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Edward Jones | Martin Glavin | Martin O'Halloran | Raquel C. Conceicao | E. Jones | M. Glavin | R. Conceição | M. O’halloran
[1] P. Kosmas,et al. Time reversal with the FDTD method for microwave breast cancer detection , 2005, IEEE Transactions on Microwave Theory and Techniques.
[2] M. Lindstrom,et al. A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries , 2007, Physics in medicine and biology.
[3] A. Taflove,et al. Two-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: fixed-focus and antenna-array sensors , 1998, IEEE Transactions on Biomedical Engineering.
[4] Zhong Qing Zhang,et al. Active microwave imaging. I. 2-D forward and inverse scattering methods , 2002 .
[5] Kristin P. Bennett,et al. Support vector machines: hype or hallelujah? , 2000, SKDD.
[6] P. Kosmas,et al. FDTD-based time reversal for microwave breast cancer Detection-localization in three dimensions , 2006, IEEE Transactions on Microwave Theory and Techniques.
[7] Cheong Boon Soh,et al. Effect of lesion morphology on microwave signature in ultra-wideband breast imaging: a preliminary two-dimensional investigation , 2007, 2007 IEEE Antennas and Propagation Society International Symposium.
[8] P. Rocca,et al. Numerical validation and experimental results of a multi-resolution SVM-based classification procedure for breast imaging , 2009, 2009 IEEE Antennas and Propagation Society International Symposium.
[9] Dustin Boswell,et al. Introduction to Support Vector Machines , 2002 .
[10] Karri Muinonen,et al. Introducing the Gaussian shape hypothesis for asteroids and comets , 1998 .
[11] R.M. Rangayyan,et al. Shape Analysis of Breast Masses in Mammograms via the Fractal Dimension , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[12] A. Taflove,et al. Three-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: design of an antenna-array element , 1999 .
[13] Robert H. Svenson,et al. Computational modeling of three-dimensional microwave tomography of breast cancer , 2001, IEEE Transactions on Biomedical Engineering.
[14] M. Lindstrom,et al. A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries , 2007, Physics in medicine and biology.
[15] P. Rocca,et al. An Innovative Multiresolution Approach for DOA Estimation Based on a Support Vector Classification , 2009, IEEE Transactions on Antennas and Propagation.
[16] P. Kosmas,et al. A matched-filter FDTD-based time reversal approach for microwave breast cancer detection , 2006, IEEE Transactions on Antennas and Propagation.
[17] Yifan Chen,et al. Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging , 2010, IEEE Transactions on Biomedical Engineering.
[18] Paul M. Meaney,et al. A clinical prototype for active microwave imaging of the breast , 2000 .
[19] Barry D. Van Veen,et al. Breast Tumor Characterization Based on Ultrawideband Microwave Backscatter , 2008, IEEE Transactions on Biomedical Engineering.
[20] Paul M. Meaney,et al. Nonactive antenna compensation for fixed-array microwave imaging. II. Imaging results , 1999, IEEE Transactions on Medical Imaging.
[21] Nello Cristianini,et al. An introduction to Support Vector Machines , 2000 .
[22] Yifan Chen,et al. Effect of Lesion Morphology on Microwave Signature in 2-D Ultra-Wideband Breast Imaging , 2008, IEEE Transactions on Biomedical Engineering.
[23] Rangaraj M. Rangayyan,et al. Polygonal Modeling of Contours of Breast Tumors With the Preservation of Spicules , 2008, IEEE Transactions on Biomedical Engineering.
[24] Robert H. Svenson,et al. Two-dimensional computer analysis of a microwave flat antenna array for breast cancer tomography , 2000 .
[25] K. Paulsen,et al. Initial clinical experience with microwave breast imaging in women with normal mammography. , 2007, Academic radiology.
[26] Fiona Steele,et al. The Analysis and Interpretation of Multivariate Data for Social Scientists , 2002 .
[27] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[28] X. Li,et al. Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions , 2002, IEEE Transactions on Biomedical Engineering.
[29] Edward Jones,et al. Investigation of Classifiers for Early-Stage Breast Cancer Based on Radar Target Signatures , 2010 .
[30] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[31] Larry D. Travis,et al. Light scattering by nonspherical particles : theory, measurements, and applications , 1998 .
[32] Martin Glavin,et al. Classification of suspicious regions within ultrawideband radar images of the breast , 2008 .
[33] Rangaraj M. Rangayyan,et al. Measures of acutance and shape for classification of breast tumors , 1997, IEEE Transactions on Medical Imaging.
[34] Karri Muinonen,et al. Light Scattering by Stochastically Shaped Particles , 2000 .
[35] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[36] Allen Taflove,et al. Computational Electrodynamics the Finite-Difference Time-Domain Method , 1995 .