Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation

The expectation-maximization (EM) algorithm has been widely applied to the estimation of Gaussian mixture model (GMM) in brain MR image segmentation. However, the EM algorithm is deterministic and intrinsically prone to overfitting the training data and being trapped in local optima. In this paper,...

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Vydané v:	IEEE transactions on information technology in biomedicine Ročník 15; číslo 3; s. 373 - 380
Hlavní autori:	Tian, GuangJian, Xia, Yong, Zhang, Yanning, Feng, Dagan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.05.2011
Predmet:	Algorithms Bayes Theorem Brain - anatomy & histology Brain modeling Estimation Female Gallium Gaussian mixture model (GMM) genetic algorithm (GA) Genetic algorithms Humans Image Processing, Computer-Assisted - methods Image resolution Image segmentation Information technology Magnetic Resonance Imaging - methods Male MRI Normal Distribution variational Bayes inference
ISSN:	1089-7771, 1558-0032, 1558-0032
On-line prístup:	Získať plný text
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