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A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data.

, , , , и . IEEE Trans. Med. Imaging, 21 (3): 193-199 (2002)

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Descreening using segmentation-based adaptive filtering., и . Image Processing: Algorithms and Systems, том 7870 из SPIE Proceedings, стр. 78700E. SPIE, (2011)Bias Field Estimation and Adaptive Segmentation of MRI Data Using a Modified Fuzzy C-Means Algorithm., , , и . CVPR, стр. 1250-1255. IEEE Computer Society, (1999)Two-stage neural network for volume segmentation of medical images., и . Pattern Recognit. Lett., 18 (11-13): 1143-1151 (1997)A new genetic-based technique for matching 3-D curves and surfaces., , и . Pattern Recognit., 32 (10): 1817-1820 (1999)Characterization of Electrophotographic Print Artifacts: Banding, Jitter, and Ghosting., , , и . IEEE Trans. Image Processing, 20 (5): 1313-1326 (2011)A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data., , , , и . IEEE Trans. Med. Imaging, 21 (3): 193-199 (2002)A Modified Fuzzy C-Means Algorithm for MRI Bias Field Estimation and Adaptive Segmentation., , , и . MICCAI, том 1679 из Lecture Notes in Computer Science, стр. 72-81. Springer, (1999)Characterization of Ghosting Defects in Electrophotographic Printers., , и . ICIP (3), стр. 453-456. IEEE, (2007)EP printer jitter characterization using 2D Gabor filter and spectral analysis., , и . ICIP, стр. 1860-1863. IEEE, (2008)Modified fuzzy c-mean in medical image segmentation., , и . ICASSP, стр. 3429-3432. IEEE Computer Society, (1999)