A Modified Fuzzy Kohonen's Competitive Learning Algorithms Incorporating Local Information for MR Image Segmentation
暂无分享,去创建一个
Jianzhong Wang | Jun Kong | Yinghua Lu | Wenjing Lu | Na Che | Jianzhong Wang | Yinghua Lu | Wenjing Lu | Na Che | Jun Kong
[1] Jian Yu,et al. Optimality test for generalized FCM and its application to parameter selection , 2005, IEEE Transactions on Fuzzy Systems.
[2] Andrea Schenone,et al. A fuzzy clustering based segmentation system as support to diagnosis in medical imaging , 1999, Artif. Intell. Medicine.
[3] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[4] Jerry L. Prince,et al. Adaptive fuzzy segmentation of magnetic resonance images , 1999, IEEE Transactions on Medical Imaging.
[5] E T Bullmore,et al. A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images. , 1999, Magnetic resonance imaging.
[6] Kai-Hsiang Chuang,et al. Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy C-means , 1999, IEEE Transactions on Medical Imaging.
[7] Daoqiang Zhang,et al. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[8] Daoqiang Zhang,et al. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation , 2007, Pattern Recognit..
[9] Mohammed Yakoob Siyal,et al. An intelligent modified fuzzy c-means based algorithm for bias estimation and segmentation of brain MRI , 2005, Pattern Recognit. Lett..
[10] Jun Kong,et al. A Fuzzy Kohonen’s Competitive Learning Algorithm for 3D MRI Image Segmentation , 2006 .
[11] Edwin N. Cook,et al. Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks , 1997, IEEE Transactions on Medical Imaging.
[12] W. Reddick,et al. A hybrid neural network analysis of subtle brain volume differences in children surviving brain tumors. , 1998, Magnetic resonance imaging.
[13] W E Phillips,et al. Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme. , 1995, Magnetic Resonance Imaging.
[14] W E Reddick,et al. Hybrid artificial neural network segmentation of precise and accurate inversion recovery (PAIR) images from normal human brain. , 2000, Magnetic resonance imaging.
[15] Jian Yu,et al. Analysis of the weighting exponent in the FCM , 2004, IEEE Trans. Syst. Man Cybern. Part B.
[16] Miin-Shen Yang,et al. Alternative c-means clustering algorithms , 2002, Pattern Recognit..
[17] Tianzi Jiang,et al. Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images , 2003, NeuroImage.