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Brain Tumor Detection and Optimization using Hybrid Classification Algorithm

Brain tumor MRI images of different patients at different stages can be used to diagnose tissue. There are various types of feature extraction and SVM separation methods used to detect brain tumor in MRI images. The Neural Network image segmentation algorithm helps detect the tumor early with high accuracy. This research work has proposed a feature extraction for the hybrid method (SVM and Artificial Neural Network)in order to find tumor cells that provide approximately 98% accuracy.