A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation

Title
A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation
Authors
Keywords
3D brain MR image segmentation, Clustering, Entropy, Image segmentation
Journal
APPLIED SOFT COMPUTING
Volume 90, Issue -, Pages 106171
Publisher
Elsevier BV
Online
2020-02-16
DOI
10.1016/j.asoc.2020.106171

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