IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Brain Tumour Image Segmentation Using Matlab


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International Journal for Innovative Research in Science & Technology
Volume 1 Issue - 12
Year of Publication : 2015
Authors : S. Vandhana ; D. Dhilip Kumar; K. Sakthi Priya; S. Jeneeth Subashini

BibTeX:

@article{IJIRSTV1I12023,
     title={Brain Tumour Image Segmentation Using Matlab},
     author={S. Vandhana, D. Dhilip Kumar, K. Sakthi Priya and S. Jeneeth Subashini},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={12},
     pages={447--451},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I12023.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

Brain tumour (tumour- British English, tumor-American English) is a group of cell that grows abnormally in the cell, nerves and other parts of the brain. Methods such as X-Ray, CT-Scan, MRI is available to detect the brain tumour. Many researches have found that people die due to inaccurate detection of the affected brain tumour part. It is necessary to find the accurate part of the affected area of the brain tumor. Bio-medical image processing is the most challenging and upcoming field in the present world. By using MATLAB, the tumour present in the MRI brain image is segmented and the type of tumour is specified using SVM classifier (Support Vector Machine).


Keywords:

Brain Tumour, MRI Image, Threshold Segmentation, SVM Classifier, MATLAB


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