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Denoising Magnetic Resonance Images Using Collaborative Non-Local Means
Noise artifacts in magnetic resonance (MR) images increase the complexity of image processing workflows and decrease the reliability of inferences drawn from the images. It is thus often desirable to remove such artifacts beforehand for more robust and effective quantitative analysis. It is importan...
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| Pubblicato in: | Neurocomputing |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4776654/ https://ncbi.nlm.nih.gov/pubmed/26949289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2015.11.031 |
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