文章基本信息

标题：Framework for Detection of Abnormalities in Brain Magnetic Resonance Images
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作者：K. Bhima ; A. Jagan
期刊名称：Annals. Computer Science Series
印刷版ISSN：1583-7165
电子版ISSN：2065-7471
出版年度：2016
卷号：14
期号：2
页码：14-19
出版社：Mirton Publishing House, Timisoara
摘要：In brain MR Image analysis, the image segmentation majorly used for measuring and visualizing the brain anatomical structures, analyzing brain abnormalities, and surgical planning. The Brain MR Images are extensively used for medical diagnosis since it exhibits the inner section of the brain. The analogous research results expressed the enhancement in identification of abnormalities in Brain MR Image segmentation by merging diverse methods and techniques. However the specific results are not been projected and established in the similar researches. Hence, this work proposes framework for detection of anomalies in Brain MR Images using most conventional EMGM and Watershed Method with the proposed efficient amalgamation technique. The main focus of the proposed work is to enhance the accuracy of the detection of brain anomalies for Brain MR Image and the results are optimally merged and accomplished improved accuracy. The application is equipped with the bilateral filter to enhance the MR image edges for better segmentation and then the bilateral filter employed to the EMGM, Watershed and Proposed Method for identification of abnormalities in Brain MR Images. The comparative performance of the EMGM, Watershed and Proposed Method is also been demonstrated with the help of multiple BRATS T2-weighted Brain MR Image datasets
关键词：Watershed Method; EMGM Method; Proposed Method; Bilateral Filter; T2-weighted Brain MR Image