Abstract
Breast cancer is considered as a dangerous disease attack women all over the world. A Mamdani-Fuzzy expert system is built to detect the disease in early stage by using mammogram images and data report for calcification and ultrasound data for mass size. Two input and one output which are size of mass and distribution of calcification (input) and class of BIRADS (output) have been used to develop the model. The model is able to classify 84.04 % mammogram images into the actual BIRADS. 13 images which are 13.83% wrongly classify and 2 images which are 2.13% unable to classify because of some limitation as stated in discussion.
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Baharuddin, W.N.A., Hussain, R.I., Sheikh Abdullah, S.N.H., Fitri, N., Abdullah, A. (2013). Mamdani-Fuzzy Expert System for BIRADS Breast Cancer Determination Based on Mammogram Images. In: Noah, S.A., et al. Soft Computing Applications and Intelligent Systems. M-CAIT 2013. Communications in Computer and Information Science, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40567-9_9
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DOI: https://doi.org/10.1007/978-3-642-40567-9_9
Publisher Name: Springer, Berlin, Heidelberg
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