Proficient Segmentation Methods for Tumor Detection & Prediction Age in MRI Images
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-45 Number-1 |
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| Year of Publication : 2017 | ||
| Authors : M.S.Vinmathi, P.Priyanka, S.Rathnasundari, Sannareddy.Sowchika | ||
| DOI : 10.14445/22312803/IJCTT-V45P107 |
M.S.Vinmathi, P.Priyanka, S.Rathnasundari, Sannareddy.Sowchika "Proficient Segmentation Methods for Tumor Detection & Prediction Age in MRI Images". International Journal of Computer Trends and Technology (IJCTT) V45(1):37-40, March 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
To identify the source cell of the brain tumor and age of the tumor by the assistance of Automatic picture division calculation. Numerous division strategies are utilized to deduct the tumor parcel like Thresholding procedure, Hybrid system, Boundary based strategy, and Region based method yet in this all procedure the location of wellspring of the tumor and the age of the tumor is not done before.
References
1. Ayes Demirhan, Mustafa Toru and ?nan Gluer “Segmentation of Tumor and Edema Along With Healthy Tissues of Brain Using Wavelets And Neural Networks”, 2015.
2. R.Rajeswari and P. Anandhakumar.” Image Segmentation and Identification of Brain Tumor are using FFT techniques of MRI Image”, 2011.
3. Aboul Dhabi, Sami S. A. Ghoniemy, Gama M. Selim. “Automated Brain Tumor Detection and Identification Using Image Processing and Probabilistic Neural Network Techniques”, 2012
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5. Rachana Rana, H.S. Bhadauria and Annapurna Singh,” Study of Various Methods for Brain Tumor Segmentation from MRI Images”, 2013
Keywords
Brain tumor detection, automatic picture division, Thresholding procedure, Hybrid system, Boundary based strategy, Region based method.