A MR Brain Classification Method Based on Multiscale and Multiblock Fuzzy C-Means
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[1] Jerry L. Prince,et al. Adaptive fuzzy segmentation of magnetic resonance images , 1999, IEEE Transactions on Medical Imaging.
[2] Baowei Fei,et al. A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme , 2009, Medical Image Anal..
[3] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[4] D. Louis Collins,et al. A new improved version of the realistic digital brain phantom , 2006, NeuroImage.
[5] Hesheng Wang,et al. Multiscale fuzzy C-means image classification for multiple weighted MR images for the assessment of photodynamic therapy in mice , 2007, SPIE Medical Imaging.
[6] R. Leahy,et al. Magnetic Resonance Image Tissue Classification Using a Partial Volume Model , 2001, NeuroImage.
[7] A. Evans,et al. MRI simulation-based evaluation of image-processing and classification methods , 1999, IEEE Transactions on Medical Imaging.
[8] Charles R. Meyer,et al. Retrospective correction of intensity inhomogeneities in MRI , 1995, IEEE Trans. Medical Imaging.
[9] Aly A. Farag,et al. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data , 2002, IEEE Transactions on Medical Imaging.
[10] Martin Styner,et al. Parametric estimate of intensity inhomogeneities applied to MRI , 2000, IEEE Transactions on Medical Imaging.
[11] Ioannis Sechopoulos,et al. Automatic tissue classification for high-resolution breast CT images based on bilateral filtering , 2011, Medical Imaging.