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A Preview Study on UWB Imaging System to Detect Early Breast Tumor

  • Conference paper
e-Technologies and Networks for Development (ICeND 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 171))

Abstract

Breast cancer is the second leading cause of cancer death after lung cancer among the women. In this paper we reviewed some breast cancer detection techniques like Mammography, Magnetic Resonance Imaging (MRI), ultra Sound and Ultra Wide Band (UWB) and its performances. Current UWB systems having some limitations including they are not able to detect the tumor at early stages, a multiple antenna array in terms of complex system and in all systems no pictorial 3D representation of tumor size. To overcome this limitation, a thorough investigation is done here, to find out the limitations of existing and proposed systems followed by the open issues which need to be resolved.

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Author information

Authors and Affiliations

  1. Faculty of Computer Systems and Software Engineering, University Malaysia Pahang (UMP), 26300, Gambang, Kuantan, Pahang, Malaysia

    A. Naveena Lakshmi & S. Khatun

  2. Department of Computer and Communication Systems Engineering Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, 43400, Malaysia

    S. A. AlShehri

Authors
  1. A. Naveena Lakshmi
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  2. S. Khatun
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  3. S. A. AlShehri
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Editor information

Editors and Affiliations

  1. The Institute of Finance and Management, P.O. Box 3918, Dar Es Salaam, Tanzania

    Jim James Yonazi

  2. Faculty of Computing, Information Systems, and Mathematics, The Institute of Finance and Management, P.O. Box 3918, Dar Es Salaam, Tanzania

    Eliamani Sedoyeka

  3. London Metropolitan Business School, London Metropolitan Business University, Eden grove - EG4.06, N7 8EA, London, UK

    Ezendu Ariwa

  4. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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Lakshmi, A.N., Khatun, S., AlShehri, S.A. (2011). A Preview Study on UWB Imaging System to Detect Early Breast Tumor. In: Yonazi, J.J., Sedoyeka, E., Ariwa, E., El-Qawasmeh, E. (eds) e-Technologies and Networks for Development. ICeND 2011. Communications in Computer and Information Science, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22729-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-22729-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

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