Search search
submit Submit
Publication Date
to
Vol. 144
Latest Volume
All Volumes
PIER 181 [2024] PIER 180 [2024] PIER 179 [2024] PIER 178 [2023] PIER 177 [2023] PIER 176 [2023] PIER 175 [2022] PIER 174 [2022] PIER 173 [2022] PIER 172 [2021] PIER 171 [2021] PIER 170 [2021] PIER 169 [2020] PIER 168 [2020] PIER 167 [2020] PIER 166 [2019] PIER 165 [2019] PIER 164 [2019] PIER 163 [2018] PIER 162 [2018] PIER 161 [2018] PIER 160 [2017] PIER 159 [2017] PIER 158 [2017] PIER 157 [2016] PIER 156 [2016] PIER 155 [2016] PIER 154 [2015] PIER 153 [2015] PIER 152 [2015] PIER 151 [2015] PIER 150 [2015] PIER 149 [2014] PIER 148 [2014] PIER 147 [2014] PIER 146 [2014] PIER 145 [2014] PIER 144 [2014] PIER 143 [2013] PIER 142 [2013] PIER 141 [2013] PIER 140 [2013] PIER 139 [2013] PIER 138 [2013] PIER 137 [2013] PIER 136 [2013] PIER 135 [2013] PIER 134 [2013] PIER 133 [2013] PIER 132 [2012] PIER 131 [2012] PIER 130 [2012] PIER 129 [2012] PIER 128 [2012] PIER 127 [2012] PIER 126 [2012] PIER 125 [2012] PIER 124 [2012] PIER 123 [2012] PIER 122 [2012] PIER 121 [2011] PIER 120 [2011] PIER 119 [2011] PIER 118 [2011] PIER 117 [2011] PIER 116 [2011] PIER 115 [2011] PIER 114 [2011] PIER 113 [2011] PIER 112 [2011] PIER 111 [2011] PIER 110 [2010] PIER 109 [2010] PIER 108 [2010] PIER 107 [2010] PIER 106 [2010] PIER 105 [2010] PIER 104 [2010] PIER 103 [2010] PIER 102 [2010] PIER 101 [2010] PIER 100 [2010] PIER 99 [2009] PIER 98 [2009] PIER 97 [2009] PIER 96 [2009] PIER 95 [2009] PIER 94 [2009] PIER 93 [2009] PIER 92 [2009] PIER 91 [2009] PIER 90 [2009] PIER 89 [2009] PIER 88 [2008] PIER 87 [2008] PIER 86 [2008] PIER 85 [2008] PIER 84 [2008] PIER 83 [2008] PIER 82 [2008] PIER 81 [2008] PIER 80 [2008] PIER 79 [2008] PIER 78 [2008] PIER 77 [2007] PIER 76 [2007] PIER 75 [2007] PIER 74 [2007] PIER 73 [2007] PIER 72 [2007] PIER 71 [2007] PIER 70 [2007] PIER 69 [2007] PIER 68 [2007] PIER 67 [2007] PIER 66 [2006] PIER 65 [2006] PIER 64 [2006] PIER 63 [2006] PIER 62 [2006] PIER 61 [2006] PIER 60 [2006] PIER 59 [2006] PIER 58 [2006] PIER 57 [2006] PIER 56 [2006] PIER 55 [2005] PIER 54 [2005] PIER 53 [2005] PIER 52 [2005] PIER 51 [2005] PIER 50 [2005] PIER 49 [2004] PIER 48 [2004] PIER 47 [2004] PIER 46 [2004] PIER 45 [2004] PIER 44 [2004] PIER 43 [2003] PIER 42 [2003] PIER 41 [2003] PIER 40 [2003] PIER 39 [2003] PIER 38 [2002] PIER 37 [2002] PIER 36 [2002] PIER 35 [2002] PIER 34 [2001] PIER 33 [2001] PIER 32 [2001] PIER 31 [2001] PIER 30 [2001] PIER 29 [2000] PIER 28 [2000] PIER 27 [2000] PIER 26 [2000] PIER 25 [2000] PIER 24 [1999] PIER 23 [1999] PIER 22 [1999] PIER 21 [1999] PIER 20 [1998] PIER 19 [1998] PIER 18 [1998] PIER 17 [1997] PIER 16 [1997] PIER 15 [1997] PIER 14 [1996] PIER 13 [1996] PIER 12 [1996] PIER 11 [1995] PIER 10 [1995] PIER 09 [1994] PIER 08 [1994] PIER 07 [1993] PIER 06 [1992] PIER 05 [1991] PIER 04 [1991] PIER 03 [1990] PIER 02 [1990] PIER 01 [1989]
All Journals
PIER PIER B PIER C PIER M PIER Letters
2013-12-16
Investigation of Classifiers for Tumor Detection with an Experimental Time-Domain Breast Screening System
By
Adam Santorelli,

    Mr. Adam Santorelli

    Department of Electrical and Computer Engineering

    McGill University

    Canada

    Homepage

Emily Porter,

    Dr. Emily Porter

    Department of Electrical and Computer Engineering

    McGill University

    Canada

    Homepage

Evgeny Kirshin,

    Dr. Evgeny Kirshin

    Department of Electrical and Computer Engineering

    McConnell Building McGill University

    Canada

    Homepage

Yi Jun Liu,

    Dr. Yi Jun Liu

    Department of Electrical and Computer Engineering

    McConnell Building McGill University

    Canada

    Homepage

Milica Popović

    Dr. Milica Popović

    Department of Electrical & Computer Engineering

    McGill University

    Canada

    Homepage

Progress In Electromagnetics Research, Vol. 144, 45-57, 2014
doi:10.2528/PIER13110709
Abstract
In this work we examine, for the first time, the use of classification algorithms for early-stage tumor detection with an experimental time-domain microwave breast screening system. The experimental system contains a 16-element antenna array, and testing is done on breast phantoms that mimic breast tissue dielectric properties. We obtain experimental data from multiple breast phantoms with two possible tumor locations. In this work, we investigate a method for detecting the tumors within the breast but without the usual complexity inherent to image-generation methods, and confirm its feasibility on experimental data. The proposed method uses machine learning techniques, namely Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA), to determine whether the current breast being scanned is tumor-free. Our results show that both SVM and LDA methods have promise as algorithms supporting early breast cancer microwave screening.
Citation
Adam Santorelli, Emily Porter, Evgeny Kirshin, Yi Jun Liu, and Milica Popović, "Investigation of Classifiers for Tumor Detection with an Experimental Time-Domain Breast Screening System," Progress In Electromagnetics Research, Vol. 144, 45-57, 2014.
doi:10.2528/PIER13110709
References

1. Nikolova, N., "Microwave imaging for breast cancer," IEEE Microwave Magazine, 78-94, Dec. 2011.
doi:10.1109/MMM.2011.942702

2. Fhager, A., S. K. Padhi, and J. Howard, "3D image reconstruction in microwave tomography using an e±cient FDTD model," IEEE Antennas Wireless Propag. Lett., Vol. 8, 1353-1356, 2009.
doi:10.1109/LAWP.2009.2039032

3. Guardiola, M., S. Capdevila, J. Romeu, and L. Jofre, "3-D microwave magnitude combined tomography for breast cancer detection using realistic breast models," IEEE Antennas Wireless Propag. Lett., Vol. 11, 1622-1625, 2012.
doi:10.1109/LAWP.2012.2235813

4. Meaney, P. M., et al. "Microwave tomography in the context of complex breast cancer imaging," Proceedings of the 32nd Annual International Conference of IEEE EMBS, 3398-3401, Aug. 2010.

5. Klemm, M., I. J. Craddock, J. A. Leendertz, A. Preece, and R. Benjamin, "Radar-based breast cancer detection using a hemispherical antenna array --- Experimental results," IEEE Trans. Ant. Propag., Vol. 57, No. 6, Jun. 2009.

6. Byrne, D., M. O'Halloran, M. Glavin, and E. Jones, "Breast cancer detection based on differential ultrawideband microwave radar," Progress In Electromagnetics Research M, Vol. 20, 231-242, 2011.
doi:10.2528/PIERM11080810

7. Lai, J. C. Y., C. B. Soh, E. Gunawan, and K. S. Low, "UWB microwave imaging for breast cancer detection --- Experimentals with heterogeneous breast phantoms," Progress In Electromagnetics Research M, Vol. 16, 19-29, 2011.

8. Flores-Tapia, D. and S. Pistorius, "Real time breast microwave radar image reconstruction using circular holography: A study of experimental feasibility," Med. Phys., Vol. 38, No. 10, 5420-5431, Oct. 2011.
doi:10.1118/1.3633922

9. Zeng, X., A. Fhager, P. Linner, M. Persson, and H. Zirath, "Zeng, X., A. Fhager, P. Linner, M. Persson, and H. Zirath, Accuracy investigation of an ultra-wideband time domain microwave imaging system," Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP), 1928-1932, Apr. 2011.

10. Porter, E., E. Kirshin, A. Santorelli, M. Coates, and M. Popovic, "Time-domain multistatic radar system for microwave breast screening," IEEE Antennas Wireless Propag. Lett., Vol. 12, 229-232, 2013.
doi:10.1109/LAWP.2013.2247374

11. Byrne, D., "Ultrawideband radar for the early detection of cancer within the heterogeneous breast," Ph.D. Diss., 2012.

12. Agarwal, K., L. Pan, Y. K. Leong, M. Han, O. Y. Chan, X. Chen, and S. P. Yeo, "Practical applications of multiple signal classification," International Journal of RF and Microwave Computer-aided Engineering, Vol. 22, No. 3, 359-369, 2012.
doi:10.1002/mmce.20607

13. Arnau, O., J. Freixenet, R. Marti, and R. Zwiggelaar, "A comparison of breast tissue classification techniques," Medical Image Computing and Computer-Assisted Intervention, MICCAI, 872-879, 2006.

14. Prasad, D. P., C. Quek, and M. K. H. Leung, "A hybrid approach for breast tissue data classification," TENCON 2009-2009 IEEE Region 10 Conference, 1-4, 2009.
doi:10.1109/TENCON.2009.5396116

15. Davis, S. K., et al. "Breast tumor characterization based on ultrawideband microwave backscatter," IEEE Transactions on Biomedical Engineering, Vol. 55, No. 1, 237-246, 2008.
doi:10.1109/TBME.2007.900564

16. Kerhet, A., M. Raffetto, A. Boni, and A. Massa, "A SVM-based approach to microwave breast," cancer detection," Engineering Applications of Arti¯cial Intelligence, Vol. 19, 807-818, 2006.
doi:10.1016/j.engappai.2006.05.010

17. Conceicao, R. C., M. O'Halloran, M. Glavin, and E. Jones, "Support vector machines for the classi¯cation of early-stage breast cancer based on radar target signatures," Progress In Electromagnetics Research B, Vol. 23, 311-327, 2010.
doi:10.2528/PIERB10062407

18. Byrne, D. and Support vector machine-based ultrawide-, "Support vector machine-based ultrawide-band breast cancer detection system," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 13, 1807-1816, 2011.
doi:10.1163/156939311797454015

19. Fhager, A., Y. Yu, T. McKelvey, and M. Persson, "Stroke diagnostics with a microwave helmet," Proceedings of the 7th European Conference on Antennas and Propagation (EUCAP), 845-846, Apr. 2013.

20. O'Halloran, M., F. Morgan, M. Glavin, E. Jones, R. C. Conceicao, and D. Byrne, "Bladder-state monitoring using ultra wideband radar," Proceedings of the 7th European Conference on Antennas and Propagation (EUCAP) , 624-627, Apr. 2013.

21. Conceicao, R. C., H. Medeiros, M. O'Halloran, D. Rodriguez-Herrera, D. Flores-Tapia, and S. Pistorius, "Initial classification of breast tumour phantoms using a UWB radar prototype," 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA), 720-723, 2013.
doi:10.1109/ICEAA.2013.6632339

22. Kanj, H. and M. Popovic, "A novel ultra-compact broadband antenna for microwave breast tumor detection," Progress In Electromagnetics Research, Vol. 86, 169-198, 2008.
doi:10.2528/PIER08090701

23. Santorelli, A., et al. "Experimental demonstration of pulse shaping for time-domain microwave breast imaging," Progress In Electromagnetics Research, Vol. 133, 309-329, 2013.

24. Porter, E., J. Fakhoury, R. Oprisor, M. Coates, and M. Popovic, "Improved tissue phantoms for experimental validation of microwave breast cancer detection," Proceedings of the 4th European Conference on Antennas and Propagation (EUCAP), Apr. 2010.

25. Lazebnik, M., et al. "A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries," Phys. Med. Biol., Vol. 52, 6093-6115, 2007.
doi:10.1088/0031-9155/52/20/002

26. Lazebnik, M., E. Madsen, G. Frank, and S. Hagness, "Tissue-mimicking phantom materials for narrowband and ultrawideband microwave applications," Phys. Med. Biol., Vol. 50, 4245-4258, 2005.
doi:10.1088/0031-9155/50/18/001

27. Porter, E., E. Kirshin, A. Santorelli, and M. Popovic, "Microwave breast screening in the time-domain: Identification and compensation of measurement-induced uncertainties," Progress In Electromagnetics Research B, Vol. 55, 115-130, 2013.

28. Conceicao, R. C., et al. "Evaluation of features and classifiers for classification of early-stage breast cancer," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 1, 1-14, 2011.
doi:10.1163/156939311793898350

29. Boser, B. E., I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers," Proceedings of the Fifth Annual Workshop on Computational Learning Theory, 144-152, 1992.
doi:10.1145/130385.130401

30. Cortes, C. and V. Vapnik, "Support-vector networks," Machine Learning, Vol. 20, No. 3, 273-297, 1995.

31. Martinez, A. and A. Kak, "PCA versus LDA," IEEE Trans. Pattern Anal. Mach. Intell, Vol. 23, No. 2, 228-233, Feb. 2001.
doi:10.1109/34.908974

32. Hsu, C.-W., C.-C. Chang, and C.-J. Lin, "A practical guide to support vector classifiocation," Tech. Rep., 2003.
doi:http://www.csie.ntu.edu.tw/cjlin/papers.html

Download Full Article (356) View Full Article volume
The EM Academy piers.org jpier.org Who's Who in EM
Copyright © 2022 The Electromagnetics Academy. All Rights Reserved.