Automated Detection and Segmentation of Brain Tumor Using Genetic Algorithm

Medical image processing is the most emerging and challenging field nowadays . Magnetic Resonance Images act as a main source for the development of classification system. The extraction, identification and segmentation of affected region from Magnetic resonance brain image is significant but is a time consuming task for the clinical experts. To overcome this limitation, it is essential to use computer aided techniques. To improve accuracy and efficiency in medical segmentation process, the proposed tumor segmentation is based on adaptive threshold algorithm. Deep learning CNN classifier used to compare the test and trained data and produces the result for tumor. The proposed technique results have been evaluated and validated based on accuracy, sensitivity and specificity. The detection, extraction and classification of MR brain images is done by using MATLAB software.