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.

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