Abstract: This study presents computer aided diagnosis (CAD) of breast cancer. Using Convolutional Neural Network (CNN) algorithm, designation of CAD for classification of mammogram images into normal and breast cancer classes was done. From Digital Dataset for screening Mammography (DDSM); a system evaluated with 268 mammograms gave an accuracy, precision,sensitivity and specificity of 92%, 85.8%, 100% and 83.7% respectively.Through these results, robustness of the system to assist radiologists during breast cancer diagnosis can be described.......
Key words: Augmentation; mammogram; convolutional neural network, breast cancer; Computer Aided Diagnosis (CAD).
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