Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering
文献类型:期刊论文
作者 | Ahmed Elazab; Changmiao Wang; Fucang Jia; Jianhuang Wu; Guanglin Li; Qingmao Hu |
刊名 | Computational and Mathematical Methods in Medicine
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出版日期 | 2015 |
英文摘要 | An adaptively regularized kernel-based fuzzy -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 devised weighted images, respectively. The algorithms employ the heterogeneity of grayscales in the neighborhood and exploit this measure for local contextual information and replace the standard Euclidean distance with Gaussian radial basis kernel functions. The main advantages are adaptiveness to local context, enhanced robustness to preserve image details, independence of clustering parameters, and decreased computational costs. The algorithms have been validated against both synthetic and clinical magnetic resonance images with different types and levels of noises and compared with 6 recent soft clustering algorithms. Experimental results show that the proposed algorithms are superior in preserving image details and segmentation accuracy while maintaining a low computational complexity. |
收录类别 | SCI |
原文出处 | https://www.hindawi.com/journals/cmmm/2015/485495/abs/ |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/10384] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | Computational and Mathematical Methods in Medicine |
推荐引用方式 GB/T 7714 | Ahmed Elazab,Changmiao Wang,Fucang Jia,et al. Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering[J]. Computational and Mathematical Methods in Medicine,2015. |
APA | Ahmed Elazab,Changmiao Wang,Fucang Jia,Jianhuang Wu,Guanglin Li,&Qingmao Hu.(2015).Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering.Computational and Mathematical Methods in Medicine. |
MLA | Ahmed Elazab,et al."Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering".Computational and Mathematical Methods in Medicine (2015). |
入库方式: OAI收割
来源:深圳先进技术研究院
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