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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Comput Math Methods Med
Egile Nagusiak: Elazab, Ahmed, Wang, Changmiao, Jia, Fucang, Wu, Jianhuang, Li, Guanglin, Hu, Qingmao
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Hindawi Publishing Corporation 2015
Gaiak:
Research Article
Sarrera elektronikoa: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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