Content based Image Retrievals for Brain Related Diseases
T.V. MadhusudhanaRao, S. Pallam Setty, Y. Srinivas · International Journal of Computer Applications · 2014
This paper is attributed to develop a methodology for assisting the radiologists in proper identification of the diseases.In this paper we have considered the brain related disease archive from University of Rennes1 database to assist in finding the similar relevance images to the radiologists thereby helping them in drawing conclusions in their clinical practices.The methodology is implemented by considering the Generalized Gamma Distribution wherein the features extracted from the images using Discrete Cosine Transformation.Kullback-Leibler (KL) divergence methodology is used for finding the most similar images.The query image is processed and relevant images are retrieved.The final estimates of the parameters of Generalized Gamma Distribution are derived and the retrieved accuracy is identified using metrics.