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

Authors: Rajesh Sharma; P. Marikkannu; Akey Sungheetha

Addresses: Hindustan College of Engineering and Technology, Coimbatore, Tamil Nadu 641032, India ' Anna University Regional Campus, Coimbatore, Tamil Nadu 641046, India ' Karpagam College of Engineering, Coimbatore, Tamil Nadu 641032, India

Abstract: 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.

Keywords: ACO; GWO; PSVM; BPN; k-NN.

DOI: 10.1504/IJBET.2019.096879

International Journal of Biomedical Engineering and Technology, 2019 Vol.29 No.1, pp.34 - 45

Received: 15 Mar 2016
Accepted: 26 Aug 2016
Published online: 13 Dec 2018 *

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