Asian Journal of Information Technology

Year: 2014
Volume: 13
Issue: 10
Page No. 653 - 656

An Effective Image Processing Technique for Finding Brain Tumor Volume

Authors : Punal. M. Arabi, E. Priyanka and M. Ramesh

References

Adesina, A.M., 2010. Introduction and Overview of Brain Tumors. In: Atlas of Pediatric Brain Tumors, Adesina, A.M., T. Tihan, C.E. Fuller and T.Y. Poussaint (Eds.). Springer, New York, pp: 1-2.

Dhanalakshmi, P. and T. Kanimozhi, 2013. Automatic segmentation of brain tumor using K-Means clustering and its area calculation. Int. J. Adv. Electrical Electron. Eng. Vol. 2, Issue 2.

Gilat, A., 2008. Matlab: An Intoduction with Applications. 3rd Edn., Wiley, USA., ISBN-13: 978-0470108772, Pages: 384.

Jayaraman, S., S. Esakkiraian and T. Veerakumar, 2010. Image Enhancement. In: Digital Image Processing, Gonzalez, R.C. (Ed.). Tata McGraw Hill, New Delhi, India, pp: 243-323.

Joshi, D.M., N.K. Rana and V.M. Misra, 2010. Classification of brain cancer using artificial neural network. Proceedings of the International Conference on Electronic Computer Technology, May 7-10, 2010, Kuala Lumpur, pp: 112-116.

Poonam, L. and J. Pruthi, 2013. Review of image processing techniques fir automatic detection of tumor in human brain. Int. J. Comput. Sci. Mobile Comput., 2: 117-122.
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Ramesh. M., P. Priya and P.M. Arabi, 2014. A novel approach for efficient skull stripping using morphological reconstruction and thresholding techniques. Int. J. Res. Eng. Technol., 3: 96-101.
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Sivaramakrishnan, L. and M. Karnan, 2013. A novel based approach for extraction of brain tumor in MRI images using soft computing techniques. Int. J. Adv. Res. Comput. Commun. Eng., 2: 1845-1848.
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