Discriminative feature extraction from X-ray images using deep convolutional neural networks

Conference/Journal
IEEE
Authors
M Srinivas Debaditya Roy C. Krishna Mohan
BibTex
Abstract
Abstract: Feature extraction is one of the most important phases of medical image classification which requires extensive domain knowledge. Convolutional Neural Networks (CNN) have been successfully used for feature extraction in images from different domains involving a lot of classes. In this paper, CNNs are exploited to extract a hierarchical and discriminative representation of X-ray images. This representation is then used for classification of the X-ray images as various parts of the body. Visualization of the feature ...