IMAGE MINING USED SEGMENTATION TECHNIQUE MRI SCAN BRAIN TUMOR IMAGES ANALYSIS (IMUSA)

Tumor segmentation from MRI image is important part of medical images experts. This is particularly a challenging task because of the high assorting appearance of tumor tissue among different patients. MRI images are advance of medical imaging because it is give richer information about human soft tissue. There are different segmentation techniques to detect MRI brain tumor. In this paper different procedure segmentation methods are used to segment brain tumors and compare the result of segmentations by sushisen algorithm in datax dataset using correlation and structural similarity List (SSL) to analyses and see the best technique that could be applied to MRI scan image boundaries using different segmentation techniques based and compare the definition of the tumor using MATLAB as technical tool on MR human brain tumor.