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Image-driven modeling of the proliferation and necrosis of glioblastoma multiforme
BACKGROUND: The heterogeneity of response to treatment in patients with glioblastoma multiforme suggests that the optimal therapeutic approach incorporates an individualized assessment of expected lesion progression. In this work, we develop a novel computational model for the proliferation and necr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414170/ https://www.ncbi.nlm.nih.gov/pubmed/28464925 http://dx.doi.org/10.1186/s12976-017-0056-7 |