Performance comparison of early breast cancer detection precision using ai and ultra-wideband (UWB) bio-antennas

Bari, Bifta Sama and Sabira, Khatun and Kamarul Hawari, Ghazali and Mamunur, Rashid and Islam, Minarul Rafiqul and Nurhafizah, Abu Talip and Rahman, Mostafijur and Rashid, Mamunur (2020) Performance comparison of early breast cancer detection precision using ai and ultra-wideband (UWB) bio-antennas. In: 2nd International Conference on Cyber Security and Computer Science (ICONS 2020), 15 - 16 February 2020 , Daffodil International University,Dhaka Bangladesh. pp. 354-365., 325. ISSN 1867-8211 ISBN 978-303052855-3

[img] Pdf
24. Performance Comparision of Early Breast Cancer Detection.pdf
Restricted to Repository staff only

Download (429kB) | Request a copy
24.1 Performance Comparision of Early Breast Cancer Detection.pdf

Download (92kB) | Preview


Breast cancer is the most common cancer among women and a major cause of death globally. A high percentage of the cancer death can be reduced if it is detected earlier (Stage 1 or 2). Early and non-invasive (health-friendly) diagnosis is the most essential key to detect breast cancer that ensures a fast and effective treatment for reducing women mortality. Ultra-wide band (UWB) technology is considered as an effective technique for breast cancer detection due to its health friendly (non-ionizing) nature to human tissue. The UWB technology uses the scattering or reflected wave/signal from breast tissue for diagnosis. A high-performance bio-antenna plays an important role in transmitting and receiving the UWB signal for this case. In this paper, breast cancer detection performance comparison of two types of UWB bio-antennas (pyramidal shaped UWB patch and the proposed modified T shaped UWB patch) has been investigated depending on accuracy. A system has been developed using a pair of UWB transceivers with bio-antennas and artificial neural network (ANN). The signals are transmitted and received through breast phantom for different arbitrary tumor size and location for considered antennas. The obtained tumor/cancer location and size detection accuracy are approximately 90.27% and 89.91 % for pyramidal shaped antenna, whereas, those for the proposed (modified T shaped) antenna are nearly 91.03% and 91.09%respectively. The proposed (modified T shaped) antenna is comparatively better to detect early breast cancer than pyramidal shaped antenna, by showing its suitability for practical use in near future.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Breast cancer early detection; Bio-antenna; Ultra-Wideband (UWB); Artificial Neural Network (ANN).
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical and Electronic Engineering Technology
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 25 Nov 2020 03:22
Last Modified: 25 Nov 2020 03:22
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item