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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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.
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Field of Research
080301 Bioinformatics Software
Socio Economic Objective
890299 Computer Software and Services not elsewhere classified
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