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The abnormal growth of the cells in the brain region leads to the formation of tumors. At present, the treatments for brain tumors are radiation and surgery which are suggested by physicians. Radiation treatment slows down the spreading capability of tumors in other brain regions and slowly kills the affected brain cells. Surgery removes the affected brain cells in the brain and through this, the spreading to other regions in the brain is prevented. For the case of proper surgery, the location identification of the abnormal cells in the brain region is important. If it is not properly and completely removed from the brain, then few affected cells skipped from the surgery affect the other cells in the brain. Brain tumors are classified into either benign or malignant based on their capability of spreading. The benign are abnormal tissues that are not spreading to nearby tissues and they can be cured by proper medication suggested by the physician. Malignant is an also abnormal tissue that spreads or affects the nearby tissues and it can be cured by medication. The only solution is to remove these affected tumor regions through proper surgery by a physician. The affected malignant tumor cells region is manually detected by a physician or radiologist in the conventional method. This is a time-consuming and error-probe methodology due to manual intervention. This limitation is overcome by proposing the computer-aided automatic approach for brain tumor image classification.