Segmentation of Soft Tissues from MRI Brain Images Using Optimized KPCM Clustering Via Level Set Formulation
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-1480-7_32
Reference14 articles.
1. Bezdek, J.C., L.O. Hall, and L.P. Clarke. 1993. Review of MR Image Segmentation Using Pattern Recognition. Medical Physics 20 (4): 1033–1048.
2. Liu, H.-C., J.-F. Lirng, and P.N. Wang. 2003. Generalized Kohonen’s Competitive Learning Algorithm for Ophthalmological MR Image Segmentation. Magnetic Resonance Imaging 21: 863–870.
3. Liew, A.W.-C., and H. Yan. 2006. Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images. Current Medical Imaging Reviews 2 (1): 91–103.
4. Gupta, M.P., and M.M. Shringirishi. 2013. Implementation of Brain Tumor Segmentation in Brain MR Images Using k-Means Clustering and Fuzzy c-Means Algorithm. International Journal of Computers & Technology 5 (1): 54–59.
5. Hou, Z., W. Qian, S. Huang, Q. Hu, and W.L. Nowinski. 2007. Regularized Fuzzy c-Means Method for Brain Tissue Clustering. Pattern Recognition Letters 28: 1788–1794.
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