Local and Global Feature Utilization for Breast Image Classification by Convolutional Neural Network

Convolutional Neural Networks (CNN) have brought a revolutionary improvement to image analysis, specially in the image classification field. The technique of natural image classification using the CNN method has been deliberately utilized for medical image classification with some advanced engineering. However, so far in most of the cases CNN model classifies images based on global features extraction from the raw images. In this paper we have utilized both raw images and some hand-crafted features, and later we classify images using a CNN network. For the classification purposes we have utilized the BreakHis dataset and achieved a 96.00% accuracy, which is a state-of-the-art result on this dataset.