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• W2765143856 abstract "Early detection of Brain Tumor is a challenging task as symptoms appear in the advanced stages of tumor. To provide a better result in brain tumor detection Magnetic Resonance Image is most widely preferred. To give better discovery of tumor without influencing an ordinary tissue is exceptionally difficult process. In order to revise the drawbacks, we propose another novel system for Brain tumor detection through (MRI) Magnetic Resonance Imaging. In this proposed technique MR Image is preprocessed by Optimized Kernel Possibilistic C-Means Algorithm. Then Adaptive DW-MTM Filter is used to enhance the MRI quality. Finally, the enhanced image is segmented by Regression Neural Network. Segmentation method is utilizes to separate the tumor area from Background. This segmented image is used for the diagnosis of brain tumor in prior stage." @default.
• W2765143856 created "2017-11-10" @default.
• W2765143856 creator A5020404323 @default.
• W2765143856 creator A5091078881 @default.
• W2765143856 date "2017-03-01" @default.
• W2765143856 modified "2023-10-02" @default.
• W2765143856 title "A survey on image processing techniques for brain tumor detection using magnetic resonance imaging" @default.
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• W2765143856 doi "https://doi.org/10.1109/igeht.2017.8094064" @default.
• W2765143856 hasPublicationYear "2017" @default.
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