Three-dimensional MRI brain tumour classification using hybrid ant colony optimisation and grey wolf optimiser with proximal support vector machine

Autor:	RAJESH SHARMA RAJENDRAN, Marikkannu P, Akey Sungheetha Kumarasuvamy
Rok vydání:	2019
Předmět:	Support vector machine business.industry Computer science Biomedical Engineering Pattern recognition Tumour classification Mri brain Artificial intelligence Ant colony business Hybrid approach Classifier (UML)
Zdroj:	International Journal of Biomedical Engineering and Technology. 29:34
ISSN:	1752-6426 1752-6418
DOI:	10.1504/ijbet.2019.10017861
Popis:	A hybrid approach employing Ant Colony Optimisation (ACO) and Grey Wolf Optimiser (GWO) is proposed in this paper along with Proximal Support Vector Machine (PSVM) classifier to carry out brain tumour classification for the given 3D MRI brain images. The proposed hybrid ACO-GWO is employed for selecting the optimal features required for performing the classification process. PSVM is employed over the Support Vector Machine (SVM), Back-Propagation Network (BPN) and k-Nearest Neighbour (k-NN) for evaluating the effectiveness of the classifier approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3481136521cab1076abde88c3c6f74d https://doi.org/10.1504/ijbet.2019.10017861 Zobrazit plný text záznamu