Abstract
In this paper, we investigate breast ultrasound images (BUSI) performing (CAD) Computer Aided Diagnosis of breast cancer, thereby predicting the stage of malignant tumor in breast ultrasound images through effective speckle filtering, contrast enhancement, feature extraction and feature fusion. This model trains BUSI dataset by performing Convolutional neural network (CNN) using NPR tool.
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