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...
| Published in: | Cancers Vol. 14; no. 10; pp. 2530 - 2559 |
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| Main Authors: | , , , , , , , |
| Format: | computer program diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
MDPI
May2022
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| Online Access: | View this record in EBSCOhost |