Local and Global Feature Utilization for Breast Image Classification by Convolutional Neural Network
Abdullah-Al Nahid, Yinan Kong · 2017
Convolutional Neural Networks (CNN) have brought a revolutionary improvement to image analysis, especially 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.