DyPro generates 12-step latent trajectory sequences via residual dynamic evolution from initial patient data to predict OS and DFS outcomes in CRLM.
Spatial temporal graph convolutional networks for skeleton-based action recognition,
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A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis
DyPro generates 12-step latent trajectory sequences via residual dynamic evolution from initial patient data to predict OS and DFS outcomes in CRLM.