alexa Automatic Brain Tumor Segmentation by Variational Mini
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Research Article

Automatic Brain Tumor Segmentation by Variational Minimax Optimization Technique

M.C.Jobin Christ1,Ramanan Subramanian2, R.Thirumalvalavan2,A.Vignesh2
  1. Professor, Department of Biomedical Engineering,Adhiyamaan College of Engineering, Hosur,India
  2. Final Year B.E Biomedical Engineering, Adhiyamaan College of Engineering, Hosur,India
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The brain tumors are the mass of undifferentiated cells which undergoes uncontrolled proliferation of cells in the brain. Segmentation of these tumors is more difficult than natural. Because their functional sensitivity is higher than other 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 the minimax optimization that applies to the thresholding of the MRI brain image to segment tumor. The tumor segmentation 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 execution time of 15 seconds.


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