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Brain tumor segmentation by level sets methods and brain extraction using a simple standard deviation method

The revolution of digital imaging has led to an explosion in the information produced. The segmentation framework is composed of three stages. First, we use (BSDM) to extract the region of interest brain; this is a pre-segmentation of brain tissues. In the second stage, we detect abnormal regions using level sets methods. This method incorporates some noise removal functions; the algorithm has been tried on a number of patients with MRI data of brain tumor images.