Unsupervised Brain MRI Segmentation Using Improved Expectation-Maximization Algorithm

Author:

Jianjun Zhao,Jixiang Ren,Shi Qu

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Constantin, A., Ruzena, B.: Unsupervised Segmentation of Brain Tissue in Multivariat MRI. In: 2010 IEEE International Symposium on Biomedical Imaging (ISBI 2010), Rotterdam, pp. 89–92 (April 2010)

2. Wang, X., Zhang, X.: A New Localized Superpixel Markov Random Field for Image Segmentation. In: IEEE International Conference on Multimedia & Expo (ICME 2009), Mexico, pp. 642–645 (March 2009)

3. Strehl, A., Ghosh, J.: Cluster Ensembles-Acknowledge Reuse Framework for Combining Multiple Partitions. Journal of Machine Learning Research, 583–617 (May 2002)

4. Tang, J.: A Color Image Segmentation algorithm Based on Region Growing. In: 2010 2nd International Conference on Computer Engineering and Technology (ICCET), April 16-18, pp. 634–637 (2010)

5. Zhang, J., Zheng, J., Cai, J.: A diffusion approach to seeded image segmentation. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2125–2132 (2010)

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