Information Retrieves from Brain MRI Images for Tumor Detection Using Hybrid Technique K-means and Artificial Neural Network (KMANN)

Author:

Sharma Manorama,Purohit G. N.,Mukherjee Saurabh

Publisher

Springer Singapore

Reference17 articles.

1. Dong, B., Chien, A., & Shen, Z. (2010). Frame based segmentation for medical images. Communications in Mathematical Sciences, 9(2), 551–559.

2. Acharya, J., Gadhiya, S., & Raviya, K. (2013). Segmentation techniques for image analysis: A review. International Journal of computer science and management research, 2(1), 1218–1221.

3. Naik, D., & Shah, P. (2014). A review on image segmentation clustering algorithms. Int J Comput Sci Inform Technol, 5(3), 3289–93.

4. Christe, S. A., Malathy, K., & Kandaswamy, A. (2010). Improved hybrid segmentation of brain MRI tissue and tumor using statistical features. ICTACT J Image Video Process, 1(1), 34–49.

5. Seerha, G. K., & Kaur, R. (2013). Review on recent image segmentation techniques. International Journal on Computer Science and Engineering, 5(2), 109.

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