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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Bibliographische Detailangaben
Veröffentlicht in:Comput Math Methods Med
Hauptverfasser: Elazab, Ahmed, Wang, Changmiao, Jia, Fucang, Wu, Jianhuang, Li, Guanglin, Hu, Qingmao
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi Publishing Corporation 2015
Schlagworte:
Research Article
Online Zugang: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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