Improving the runtime of MRF based method for MRI brain segmentation

DOI10.1016/J.AMC.2015.01.053zbMath1338.92054OpenAlexW2047634927MaRDI QIDQ299727

Ali Ahmadvand, Mohammad Reza Daliri

Publication date: 22 June 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.01.053

zbMATH Keywords

clusteringsimulated annealingMRI brain segmentationreal time segmentation

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Computational methods for problems pertaining to biology (92-08)

Related Items (2)

Flexible Statistical Learning Model for Unsupervised Image Modeling and Segmentation ⋮ Neural network implementation of inference on binary Markov random fields with probability coding

Cites Work

• Unnamed Item
• Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors
• Modified fuzzy \(c\)-means algorithm for segmentation of T1-T2-weighted brain MRI
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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