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Early breast cancer identification : which way to go? Microarray or image based computer aided diagnosis!
conference contributionposted on 2017-12-06, 00:00 authored by Jesmin Nahar, A B M Shawkat Ali, Kevin TickleKevin Tickle, YP Chen
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.
Number of Pages6
LocationGold Coast, Queensland, Australia
Place of PublicationUSA
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External Author AffiliationsDeakin University; Faculty of Arts, Business, Informatics and Education; Institute for Health and Social Science Research (IHSSR);