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Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data
Reaction-diffusion models have been widely used to model glioma growth. However, it has not been shown how accurate this model can predict future tumor status using model parameters (i.e., tumor cell diffusion and proliferation) estimated from quantitative in vivo imaging data. Towards this end, we...
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| Publicado no: | Phys Biol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4486062/ https://ncbi.nlm.nih.gov/pubmed/26040472 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1478-3975/12/4/046006 |
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