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A SURVEY ON ARTIFICIAL INTELLIGENCE BASED BRAIN PATHOLOGY IDENTIFICATION TECHNIQUES IN MAGNETIC RESONANCE IMAGES ( Survey Paper )

Brain tumor pathologies are the most common fatality in the current scenario of health care society. Hence, accurate detection of the type of the brain abnormality is highly essential for treatment planning which can minimize the fatal results. Accurate results can be obtained only through computer aided automated systems. Besides being accurate, these techniques must converge quickly in order to apply them for real time applications. Even though several automated methods are available with these desirable performance measures, there is no clear differentiation between these techniques about the suitability for various applications. Many reports claim its work to be superior but a complete comparative analysis is lacking in these works. In this survey paper, an extensive comparative analysis is performed to illustrate the merits and demerits of various available techniques. This work also explores the applicability of the techniques in brain disorder diagnosis in MR images. The main objective of this work is to highlight the position of various automated techniques which can indirectly aid in developing novel techniques for solving the health care problem of the current society.