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The MRI Brain tumor segmentation can be performed by different algorithms that are based on a wide range of principles. In case of a high manual interaction, the process is time consuming and it introduces a high intra-subject and inter-subject variability due to the personal subjectivity. Tumor segmentation from MRI images is a challenging task. Due to the complex overlay of images in MRI, an automated segmentation and decision based on segmentation would be difficult. We propose an automateddoi:10.7726/jac.2017.1004 fatcat:lf3mpz4k7rb5ldi2qjkdqkfksi