Computerized Analysis for Classification of Heart Diseases in Echocardiographic Images Using Genetic Algorithms

Abstract

This paper presents a method for automated classification of cardiomyopathies in ultrasonic heart(echocardiographic) images using genetic algorithms(GA). The model of this GA based classifier is built with reference to a neural network (NN). The proposed system is composed of an addition part and a non - linear processing part. The performance of the GA based classifier is compared to that of a decision - theoretic(DT) classifier and a NN classifier. Our preliminary results show that the performance of the proposed GA - based classifier is comparable to that of the DT classifier but slightly poorer than that of the NN classifier.