DyPro generates 12-step latent trajectory sequences via residual dynamic evolution from initial patient data to predict OS and DFS outcomes in CRLM.
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.