An Ensemble Based Classification Approach for Medical Images

Abstract :

Ensemble classification is a classifier applied to improve the performance of the single classifiers by fusing the
output of the individual classifier models. Research in ensemble methods has largely revolved around designing ensemble consisting of single classifier models. The main discovery of the ensemble classifier, constructed by ensemble machine algorithms is to perform much better accuracy than the single classifiers. The ability to perform classification accuracy in single classifier models has been increased but in single classifier accuracy of classification is less. The difficulty arises because the algorithms for single classifier algorithm have designed with less capacitance. Now-a-days more researchers are applying the ensemble learning algorithm for classification to obtain high accuracy in an effectual manner.

Author Name : B.Chitradevi & N.Thinaharan

DOI: https://doi.org/10.5281/zenodo.891659

Keywords: MLP classifier, KNN classifier, SVM classifier, Ensemble Classifier, MRI image.