Calibrating agent-based models to tumor images using representation learning
Agent-based models (ABMs) have enabled great advances in the study of tumor development and therapeutic response, allowing researchers to explore the spatiotemporal evolution of the tumor and its microenvironment. However, these models face serious drawbacks in the realm of parameterization - ABM pa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |