Review Of Brain Tumor Detection Using MRI Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
Brain tumor is introduced as life-threatening diseases and hence its need to detect this diseasesfast and accurate. This can be worked out by the execution of automated tumor detection techniques on medical images. MRI is the most advisable one since it does not use ionizing radiation and it also provides greater contrast between different soft tissues of the human body. Brain tumors can be detected manually by experts from the MRI images. Pre-processing is necessary to enhance the input MRI image. Many automated techniques which use image segmentation. There are two images segmentation methods. First is cellular automata edge detection, and the second is Modified texture based region growing. Cellular automata provide clear and exact edge detection, combination of both enhances the tumor detection done by the individual methods such as cellular automata edge detection and modified texture based region growing and. Region growing is the segmentation based on similarity criterion and edge detection is the segmentation based on discontinuity. Modified texture based region growing performs region growing by taking both the intensity and texture constrain into account. Considering the advantages of both the techniques, we can determine the exact size and location of tumor.
Authors and Affiliations
Miss Hemangi S. Phalak, Mr. O. K. Firke
Keywords
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