文章基本信息

标题：A2SIET - AUTOMATIC DETECTION OF MULTIPLE TUMOR S THROUGH MAGNETIC RESONANCE IMAGE USING MATLAB
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作者：B.SRIKANTH ; Dr. E. SREENIVASA REDDY
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：91
期号：2
出版社：Journal of Theoretical and Applied
摘要：Image handing out is a lively research region in which medical representation meting out is an extremely difficult field. Brain tumor is an irregular mass of tissue in which a number of cells grow and increase nonstop it appears that tolerant by the mechanism that manages sensual cells. Medical imaging technique is used to image the internal portion of the human body for medical analysis. When usual cell produce old or get upset, Research shows so as to people exaggerated by brain multiple tumor s die due to their imprecise uncovering. This paper presents a novel technique for finding of brain multiple tumor from Magnetic Resonance Image Pre-processing the representation makes it ready for apply the Innovative watershed segmentation (IWS) , Pre-processing include image resizing and change to gray. In this research develop a new method Adaptive Advanced Segmentation Image Enhanced Technique (A2SIET) of multi tumor line recognition and segmentation is used to part the abnormal from the normal nearby tissue to get a real recognition of concerned and non involved area that help the surgeon to differentiate the concerned area exactly.
关键词：A2SIET; SVM; HOG; IWS; MRI.