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Brain tumor is a serious disease and numbers of affected people are drastically increasing day by day and researchers are focused on detection and classification of such types of severe diseases so that appropriate diagnosis can be provided to patient. In medical science, manually detection of brain tumor using medical resonance image by radiologist or neurosurgeon is tedious and time consuming procedure. One can save the time and energy of radiologist/ neurosurgeon by proving a framework which will automatically and reliably classify and detect the grade of tumor. The aim of this paper is to present a structure which not only classify the tumor as benign or malignant but also specify the grade of tumor. This framework comprises of different image processing and machine learning algorithm like pre-processing, segmentation, feature extraction and classification. At the end of this paper algorithm wise outcome is presented and evaluation of framework is carried out using different evaluation measures.

A Framework for Brain Tumor Classification and Grade Detection from Magnetic Resonance Image