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Deep Learning for Reaction-Diffusion Glioma Growth Modeling: Towards a Fully Personalized Model?

SIMPLE SUMMARY: Mathematical tumor growth models have been proposed for decades to capture the growth of gliomas, an aggressive form of brain tumor. However, the estimation of the tumor cell-density distribution at diagnosis and model parameters from partial observations provided by magnetic resonan...

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Detalles Bibliográficos
Autores principales:	Martens, Corentin, Rovai, Antonin, Bonatto, Daniele, Metens, Thierry, Debeir, Olivier, Decaestecker, Christine, Goldman, Serge, Van Simaeys, Gaetan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139770/ https://www.ncbi.nlm.nih.gov/pubmed/35626134 http://dx.doi.org/10.3390/cancers14102530

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