EFFECTIVE ALGORITHM FOR BENIGN BRAIN TUMOR DETECTION USING FRACTIONAL CALCULUS

Brain tumor detection has gained research interest due to complexity involved in tumor detection and mortality ratio over the few decades. The present manuscript primarily addresses issues regarding benign brain tumor detection. Brain tumor detection involves segmentation in primary stage. Segmentation using existing techniques have some limitation like unable to handle noisy data and unable to detect small intensity variation in the image. In this manuscript, a new fractional mask design for benign brain tumor detection is proposed. Qualitative and quantitative analysis have been performed to prove superiority over existing boundary based methods available .