Classification of Brain MR Images into malignant and benign using texture features and Machine Learning Algorithm

Abstract

This research aim to classify brain MRI into malignant and benign class. First, the brain MRI is preprocessing to remove out the skull area called skull stripping. Texture and statistical features will be extracted from the skull stripped image and machine learning algorithm is then used to train the features for malignant and benign class. A Trained model can use further to classify the brain MRI into Malignant and Benign.