Most Edges in Markov Random Fields for White Matter Hyperintensity Segmentation are Worthless

The time and space complexities of Markov random field (MRF) algorithms for image segmentation increase with the number of edges that represent statistical dependencies between adjacent pixels. This has made MRFs too computationally complex for cutting-edge applications such as joint segmentation of...

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Bibliographic Details
Main Authors: Schwarz, Christopher G., Fletcher, Evan, Singh, Baljeet, Liu, Amy, Smith, Noel, DeCarli, Charles, Carmichael, Owen
Format: Artigo
Language:Inglês
Published: 2012
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3775838/
https://ncbi.nlm.nih.gov/pubmed/23366478
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2012.6346517
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