Abstract: Segmentation of brain tumor is a vital step in the initial detection of tumor in the medical field. Although various methods have been presented for brain tumor segmentation, but enhancing tumor is a challenging task since tumor possess complex characteristics in appearance and boundaries. Brain tumor’ segmentation must be done with precision in the clinical practises. The objective of this review paper presents a comprehensive overview for MRI brain tumor segmentation methods. In this paper, various techniques like region based, fuzzy clustering means (FCM), thresholding and artificial neural network (ANN) algorithms have been discussed. Comparative analysis among these various segmentation conventions has been evaluated. Finally, culmination and future aspects are addressed for brain tumor segmentation methods.
Keywords: Brain tumor, Image Segmentation, Threshold-based, Region-based, Artificial Neural Networks, FCM.