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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Detalles Bibliográficos
Autores principales: Elazab, Ahmed, Wang, Changmiao, Jia, Fucang, Wu, Jianhuang, Li, Guanglin, Hu, Qingmao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697674/
https://www.ncbi.nlm.nih.gov/pubmed/26793269
http://dx.doi.org/10.1155/2015/485495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697674/
https://www.ncbi.nlm.nih.gov/pubmed/26793269
http://dx.doi.org/10.1155/2015/485495

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