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A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes
We introduce a novel Bayesian nonparametric model that uses the concept of disease trajectories for disease subtype identification. Although our model is general, we demonstrate that by treating fractions of tissue patterns derived from medical images as compositional data, our model can be applied...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5267575/ https://ncbi.nlm.nih.gov/pubmed/28060702 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2608782 |
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