A Comparative Analysis of Neurological Disorder: Brain Tumor Segmentation Using Big Data Analytic Techniques

Brain Tumor is one of the most dangerous and dreadful diseases. This paper will analyze the segmentation of a brain tumor using various algorithms. The classification of a brain tumor can be done by using the Magnetic Resonance images (MRI). Deep neural networks (DNN), Convolutional Neural Network (CNN), watershed division and SLIC calculation for brain tumor division are thought about and the division procedure utilized in every calculation has been dissected for the identification of cerebrum tumor. MR pictures are given as information and are separated into numerous patches then focused pixel estimation of every fix will be given for DNN. At that point, it will appoint marks dependent on the inside pixels and afterwards give division.