A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI

Motivation: Auto segmentation of the affected part is needed to facilitate radiologistsGoal(s): we have considered a hybrid model that inherits the convolutional neural network (CNN) properties to the support vector machine (SVM) for the auto-segmented brain tumor regionApproach: we have considered a hybrid model that inherits the CNN properties to the SVM for the auto-segmented brain tumor regionResults: An accuracy value of 0.98, which is most prominent than existing techniquesImpact: The proposed approach is more suitable for medical experts to diagnose the early stages of the brain tumor.