Detection and Classification of Brain Tumor in MRI Images
نویسنده
چکیده
Brain tumor detection in Magnetic Resonance Imaging (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary for treatment planning and patient follow-up. In this paper a brain tumour Detection and Classification System is developed. The image processing techniques such as preprocessing, image enhancement, image segmentation, morphological operations and feature extraction have been implemented for the detection of brain tumor in the MRI images. In this paper, extraction of texture features in the detected tumor is achieved using Gray Level Cooccurrence Matrix (GLCM).BPNN and K-NN classifier is used to classify MRI brain image into abnormal and healthy image. KeywordsBPNN, GLCM, K-NN, Morphological operator, Segmentation
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