TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE(2023)

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摘要
•TGM-Nets is a physics-informed neural networks (PINNs) based framework.•TGM-Nets can infer patient-specific parameters for long-term predictions.•We quantify the uncertainty of TGM-Nets using the randomized priors.•We demonstrate the robustness of TGM-Nets.•We use the images of the pancreatic cancer cultured in-vitro to train TGM-Nets.
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关键词
Physics-informed neural networks,Tumor growth models,Inverse problem,Phase-field approach,Uncertainty quantification
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