Fuzzy c-means clustering with spatial information for image segmentation
Tóm tắt
Từ khóa
Tài liệu tham khảo
Bezdek, 1993, Review of MR image segmentation using pattern recognition, Med Phys, 20, 1033, 10.1118/1.597000
Brandt, 1994, Estimation of CSF, white matter and gray matter volumes in hydrocephalic children using fuzzy clustering of MR images, Comput Med Imaging Graph, 18, 25, 10.1016/0895-6111(94)90058-2
Clark, 1994, MRI segmentation using fuzzy clustering techniques, IEEE Eng Med Biol, 13, 730, 10.1109/51.334636
Pham, 1999, Adaptive fuzzy segmentation of magnetic resonance images, IEEE Trans Med Imaging, 18, 737, 10.1109/42.802752
Lyer, 2002, Feature-based fuzzy classification for interpretation of mammograms, Fuzzy Sets Syst, 114, 271
Yang, 2002, Segmentation techniques for tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms, Magn Reson Imaging, 20, 173, 10.1016/S0730-725X(02)00477-0
Pedrycz, 1997, Fuzzy clustering with partial supervision, IEEE Trans Syst Man Cybern Part B Cybern, 27, 787, 10.1109/3477.623232
Ahmed, 2002, A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data, IEEE Trans Med Imaging, 21, 193, 10.1109/42.996338
Bezdek JC. Mathematical models for systematic and taxonomy. In: proceedings of eigth international conference on numerical taxonomy, San Francisco; 1975, p. 143–66.
Xie, 1991, Validity measure for fuzzy clustering, IEEE Trans Pattern Anal Mach Intell, 3, 841, 10.1109/34.85677
Fukuyama Y, Sugeno M. A new method of choosing the number of clusters for the fuzzy c-means method. In: proceedings of fifth fuzzy system symposium; 1989, p. 247–50.