Brain Tumor Segmentation From Magnetic Resonance Imaging Scans

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Abstract

The segmentation of brain tumor from magnetic resonance imaging scans is a vital process for treatment planning and for studying the differences of healthy subjects and subjects with tumor. A computer-aided diagnosis algorithm has been designed so as to increase the accuracy of brain tumor detection and classification and thereby replace conventional invasive and time-consuming techniques. This article introduces an efficient method of brain tumor segmentation that is a combination of 3 existing techniques: threshold, watershed segmentation, and morphological operation. Detection and extraction of tumors from magnetic resonance imaging scans of the brain are done by using MATLAB 2015a software.

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