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.
