Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging
This paper presents experimental study to distinguish between malignant and benign tumors in early breast cancer detection using Ultra Wide Band (UWB) imaging. The contrast between dielectric properties of these two tumor types is the main key. Mainly water contents control the dielectric properties...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23417/1/Experimental%20approximation%20of%20breast%20tissue%20permittivity%20and%20conductivity%20using%20NN-based%20UWB%20imaging.pdf |
| _version_ | 1796970355256983552 |
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| author | Alshehri, Saleh Khatun, Sabira Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Awang, Zaiki |
| author2 | Mohamad Zain, Jasni |
| author_facet | Mohamad Zain, Jasni Alshehri, Saleh Khatun, Sabira Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Awang, Zaiki |
| author_sort | Alshehri, Saleh |
| collection | UPM |
| description | This paper presents experimental study to distinguish between malignant and benign tumors in early breast cancer detection using Ultra Wide Band (UWB) imaging. The contrast between dielectric properties of these two tumor types is the main key. Mainly water contents control the dielectric properties. Breast phantom and tumor are fabricated using pure petroleum jelly and a mixture of wheat flour and water respectively. A complete system including Neural Network (NN) model is developed for experimental investigation. Received UWB signals through the tumor embedded breast phantom are fed into the NN model to train, test and determine the tumor type. The accuracy of the experimental data is about 98.6% and 99.5% for permittivity and conductivity respectively. This leads to determine tumor dielectric properties accurately followed by distinguish between malignant and benign tumors. As malignant tumors need immediate further medical action and removal, this findings could contribute to save precious file in near future. |
| first_indexed | 2024-03-06T07:56:48Z |
| format | Conference or Workshop Item |
| id | upm.eprints-23417 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:56:48Z |
| publishDate | 2011 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-234172019-10-17T01:23:50Z http://psasir.upm.edu.my/id/eprint/23417/ Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging Alshehri, Saleh Khatun, Sabira Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Awang, Zaiki This paper presents experimental study to distinguish between malignant and benign tumors in early breast cancer detection using Ultra Wide Band (UWB) imaging. The contrast between dielectric properties of these two tumor types is the main key. Mainly water contents control the dielectric properties. Breast phantom and tumor are fabricated using pure petroleum jelly and a mixture of wheat flour and water respectively. A complete system including Neural Network (NN) model is developed for experimental investigation. Received UWB signals through the tumor embedded breast phantom are fed into the NN model to train, test and determine the tumor type. The accuracy of the experimental data is about 98.6% and 99.5% for permittivity and conductivity respectively. This leads to determine tumor dielectric properties accurately followed by distinguish between malignant and benign tumors. As malignant tumors need immediate further medical action and removal, this findings could contribute to save precious file in near future. Springer Mohamad Zain, Jasni Wan Mohd, Wan Maseri El-Qawasmeh, Eyas 2011 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23417/1/Experimental%20approximation%20of%20breast%20tissue%20permittivity%20and%20conductivity%20using%20NN-based%20UWB%20imaging.pdf Alshehri, Saleh and Khatun, Sabira and Jantan, Adznan and Raja Abdullah, Raja Syamsul Azmir and Mahmud, Rozi and Awang, Zaiki (2011) Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging. In: Second International Conference on Software Engineering and Computer Systems (ICSECS 2011), 27-29 June 2011, Kuantan, Pahang, Malaysia. (pp. 332-341). 10.1007/978-3-642-22170-5_29 |
| spellingShingle | Alshehri, Saleh Khatun, Sabira Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Awang, Zaiki Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging |
| title | Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging |
| title_full | Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging |
| title_fullStr | Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging |
| title_full_unstemmed | Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging |
| title_short | Experimental approximation of breast tissue permittivity and conductivity using NN-based UWB imaging |
| title_sort | experimental approximation of breast tissue permittivity and conductivity using nn based uwb imaging |
| url | http://psasir.upm.edu.my/id/eprint/23417/1/Experimental%20approximation%20of%20breast%20tissue%20permittivity%20and%20conductivity%20using%20NN-based%20UWB%20imaging.pdf |
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