CT imaging 1deep learning 1distant metastasis prediction 1foundation models 1head and neck cancer 1radiomics 1
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cs.CV2026
Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer
Erich Schmitz, Meixu Chen, Bowen Jing +1
The study evaluates CT foundation model embeddings for predicting distant metastasis in head and neck cancer and finds they outperform traditional radiomics and deep‑learning featu…
cs.CV2026
CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
Wenjie Zhao, Jia Li, Mingrui Liu +2
``How long can I live and remain free of cancer?'' is often the first question a patient asks after receiving a cancer diagnosis and treatment. Accurate survival prediction helps a…