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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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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | 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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