Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering

An adaptively regularized kernel-based fuzzy C-means clustering framework is proposed for segmentation of brain magnetic resonance images. The framework can be in the form of three algorithms for the local average grayscale being replaced by the grayscale of the average filter, median filter, and de...

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Detalhes bibliográficos
Publicado no:Comput Math Methods Med
Main Authors: Elazab, Ahmed, Wang, Changmiao, Jia, Fucang, Wu, Jianhuang, Li, Guanglin, Hu, Qingmao
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4697674/
https://ncbi.nlm.nih.gov/pubmed/26793269
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/485495
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