Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms

► This article presents a novel unsupervised MRF-based model for MRI segmentation. ► The proposed method uses ACO and gossiping algorithm to speed up the classic MRF. ► Tackling Gossiping algorithm, the proposed method assists ants in smart decision. ► The IBSR and Brainweb datasets have been used for testing the method. ► Results demonstrate the novel method outperforms other models in speed and quality.