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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |