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...
| Publicado en: | Cancers Vol. 14; no. 10; pp. 2530 - 2559 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | computer program diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
MDPI
May2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |