Calibrating agent-based models to tumor images using representation learning
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DOI: 10.1371/journal.pcbi.1011070
Abstract: 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… read more here.
Keywords: images abm; tumor; agent based; abm simulations ... See more keywords