Saleh, Alshehri and Adznan, Jantan and R. S. A., Raja Abdullah and Rozi, Mahmud and Sabira, Khatun and Zaiki, Awang (2011) A UWB imaging system to detect early breast cancer in heterogeneous breast phantom. In: 1st International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011). , 21-22 June 2011 , Hyatt Regency, Kuantan, Pahang, Malaysia. pp. 238-242.. ISBN 978-1-61284-229-5
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Abstract
This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue; (ii) A particular glass as skin; and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Early breast cancer detection; Neural network; Breast phantom for UWB imaging; Cancer cells |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 10 Feb 2020 02:18 |
| Last Modified: | 10 Feb 2020 02:18 |
| URI: | http://umpir.ump.edu.my/id/eprint/26210 |
| Download Statistic: | View Download Statistics |
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