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  • 标题:Automatic Brain Tumor Segmentation by Variational Minimax Optimization Technique
  • 本地全文:下载
  • 作者:M.C.Jobin Christ ; Ramanan Subramanian ; R.Thirumalvalavan
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 卷号:3
  • 期号:2
  • 页码:9751
  • 出版社:S&S Publications
  • 摘要:The brain tumors are the mass of undifferentiated cells which undergoes uncontrolled proliferation of cells inthe brain. Segmentation of these tumors is more difficult than natural. Because their functional sensitivity is higher thanother images. Many different algorithms have been proposed for segmentation of these type of tumors in brain images.In this paper, we propose an approach in order to improve efficiency of the brain tumor segmentation through theminimax optimization that applies to the thresholding of the MRI brain image to segment tumor. The tumorsegmentation is performed by the implementation of an optimistic technique called variational minimax optimization.The proposed system uses search of optimum threshold with an iterative line search technique with faster executiontime of 15 seconds.
  • 关键词:Line search Optimization;Minimax; Optimum;Segmentation; Tumor detection.
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