NDLI: Microwave imaging method employing wavelet transform and neural networks for breast cancer detection

Content Provider	IEEE Xplore Digital Library
Author	Yahya, A.F. Abbosh, Y.M. Abbosh, A.
Copyright Year	2011
Description	Author affiliation: College of Electronics Engineering, Mosul University, Iraq (Yahya, A.F.; Abbosh, Y.M.) \|\| School of ITEE, The University of Queensland, Brisbane, 4072, Australia (Abbosh, A.)
Abstract	The combined use of wavelet transform and neural networks to detect and diagnose early breast cancer is investigated. The utilized neural network is of the feed-forward back-propagation type. The proposed algorithm is tested on a three-dimensional heterogeneous breast model. Spherical tumors of radii 1mm, 3mm, and 5mm are assumed at different locations in the breast model. An ultrawideband pulse is transmitted towards the breast model and twenty-four probes are located around the breast to capture the scattered signals. The collected signals are then analyzed using the wavelet transform combined with neural networks to get useful information concerning the presence of the tumor and its size if it does exist. The detection capability of the presented method depends on the extracted features from the scattered signals. The features adopted here are cross-correlation between reflected and transmitted signal, standard deviation, mean, and energy of each sub-band of the utilized wavelet. To get those features, five levels of wavelet analysis are used. The obtained results from using the proposed method are promising with 100% success in the tumor detection. The rates of correct recognition of tumor size are 100%, 76.56%, and 65.52% for tumor radii of 5 mm, 3 mm, and 1 mm, respectively.
Starting Page	1418
Ending Page	1421
File Size	612518
Page Count	4
File Format	PDF
ISBN	9781457720345
e-ISBN	9780858259744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-05
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institution of Engs Australi
Subject Keyword	Tumors Breast cancer Wavelet transforms Feature extraction Imaging Neural networks breast cancer microwave imaging neural network wavelet transform
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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