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Consistent Segmentation using a Rician Classifier
Several popular classification algorithms used to segment magnetic resonance brain images assume that the image intensities, or log-transformed intensities, satisfy a finite Gaussian mixture model. In these methods, the parameters of the mixture model are estimated and the posterior probabilities fo...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3267889/ https://ncbi.nlm.nih.gov/pubmed/22204754 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2011.12.001 |
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