AI RESEARCH
A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis
arXiv CS.CV
•
ArXi:2505.03123v3 Announce Type: replace-cross Colorectal cancer liver metastasis (CRLM) exhibits high postoperative recurrence and pronounced prognostic heterogeneity, challenging individualized management. Existing prognostic approaches often rely on static representations from a single postoperative snapshot, and fail to jointly capture tumor spatial distribution, longitudinal disease dynamics, and multimodal clinical information, limiting predictive accuracy. We propose DyPro, a deep learning framework that infers postoperative latent trajectories via residual dynamic evolution.