MRI Brain Tumor Segmentation Using Genetic Algorithm With SVM Classifier

In medical image processing, fully automatic brain tumor segmentation has a vital role in segmenting brain image more accurately and precisely. Segmentation is the process to accomplish these tasks by dividing an image into meaningful parts which share similar properties. Magnetic Resonance Imaging (MRI) is a primary diagnostic technique to do image segmentation. It is challenging due to poor contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Firstly, this paper describes the genetic algorithms, evolution process.The main methodology involves are 1) Pre-processing, 2) Segmentation, 3)Feature Extraction and Selection using Genetic Algorithm,4)Classification using SVM.The present work segments the tumor using Genetic Algorithm and classification of the tumor by using the SVM classifier.

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  2017

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