Medical Image Classification Using Information Gain for Global Feature Reduction

Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, it is proposed to investigate the efficacy of information gain of the extracted energy with respect to the class. Results obtained from the proposed method indicate the classification accuracy is not affected by our proposed data reduction method. Keywords— Fast Hilbert Transform, Image Classification, Medical Images, Information gain.