Motivation: Auto segmentation of the affected part is needed to facilitate radiologists
Goal(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 region
Approach: we have considered a hybrid model that inherits the CNN properties to the SVM for the auto-segmented brain tumor region
Results: An accuracy value of 0.98, which is most prominent than existing techniques
Impact: The proposed approach is more suitable for medical experts to diagnose the early stages of the brain tumor.
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