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Early breast cancer identification : Which way to go? Microarray or image based computer aided diagnosis!

Nahar, Jesmin, Tickle, Kevin S., Ali, A. B. M. Shawkat and Chen, Yi-Ping 2009, Early breast cancer identification : Which way to go? Microarray or image based computer aided diagnosis!, in NSS 2009 : Proceedings of the third International Conference on Network and System Security, IEEE, Piscataway, N. J., pp. 456-461.

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Title Early breast cancer identification : Which way to go? Microarray or image based computer aided diagnosis!
Author(s) Nahar, Jesmin
Tickle, Kevin S.
Ali, A. B. M. Shawkat
Chen, Yi-Ping
Conference name Network and System Security International Conference (3rd : 2009 : Gold Coast, Queensland)
Conference location Gold Coast, Queensland
Conference dates 19-21 October 2009
Title of proceedings NSS 2009 : Proceedings of the third International Conference on Network and System Security
Editor(s) Xiang, Yang
Lopez, Javier
Wang, Haining
Zhou, Wanlei
Publication date 2009
Conference series Network and System Security International Conference
Start page 456
End page 461
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) Breast cancer
Image
Microarray
Computer aided diagnostic
Summary The goal of this research is to develop a computer aided diagnostic (CAD) system that can detect breast cancer in the early stage by using microarray and image data. We verified the performance of six well known classification algorithms with various performance matrices. Although we do not suggest a unique classifier algorithm for a CAD system, we do identify a number of algorithms whose performance is very promising. The algorithms performance was validated by 3 images dataset; two have been used for the first time in this experiment. Multidimensional image filtering is adopted for the final data extraction. The image data classification performance is compared with microarray data. Results suggest the most effective means of breast cancer identification in the early stage is a hybrid approach.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 9780769538389
Language eng
Field of Research 080301 Bioinformatics Software
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
HERDC collection year 2009
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30028576

Document type: Conference Paper
Collections: School of Information Technology
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Created: Tue, 11 May 2010, 13:52:28 EST by Sandra Dunoon