Review of Brain Tumor Detection using Mr Images
Journal Title: International Journal of Electrical and Electronics Engineering Research (IJEEER) - Year 2017, Vol 7, Issue 4
Abstract
In Human body, most important, complex and sensitive organ is Brain. Brain tumor is dangerous disease which threatens human life, hence detecting brain tumor in early stage plays an important part in treatment. Since Detection of Brain tumor is challenging task, medical imaging modality like Magnetic Resonance Imaging is helpful in diagnosis, analysis and treatment planning in brain tumor. MRI Images are processed by various pre-processing and post processing methods like Enhancement, Thresholding, Morphological operators, Segmentation etc through image processing tool in MATLAB. The Texture Features are extracted from the brain image by Feature Extraction methods such as Gray Level Co-occurrence Matrix, Fast Fourier Transform, Wavelet Transform etc and best feature is selected using any Feature Selection technique like Principal Component Analysis, Sequential Forward Selection, Particle Swarm Optimization etc. Thus important features are selected for comparison with stored database feature to classify between Normal and Abnormal images using Classifiers like Support Vector Machine, Artificial Neural Network, Probabilistic Neural Network, K-Nearest Neighbor, Machine Learning etc for detecting brain tumor
Authors and Affiliations
Priya Verma, Nitin Naiyar, Shrikant B Burje
Keywords
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