Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction

arXiv:2608.00071 · cs.CV, cs.AI · Submitted 2026-07-29 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-07-29

Updated: 2026-07-29

Terminology

Foundation Model — 30× in this paper · explained in 3 episodes
Foundation Models — 20× in this paper · explained in 7 episodes
AUC — 18× in this paper · explained in 2 episodes
Adaptation — 13× in this paper · explained in 1 episode
Generalization — 10× in this paper · explained in 13 episodes
Few-Shot Learning — 7× in this paper · explained in 4 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Embeddings — 4× in this paper · explained in 2 episodes
External Validation — 4× in this paper · explained in 2 episodes
Accuracy — 2× in this paper · explained in 1 episode
Adam — 2× in this paper · explained in 2 episodes
Benchmarking — 2× in this paper · explained in 4 episodes
Downstream Tasks — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Predictive Modeling — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
Self-Supervised Learning — 2× in this paper · explained in 8 episodes
Transformer — 2× in this paper · explained in 2 episodes
Attention Mechanism — 1× in this paper · explained in 3 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Data Fusion — 1× in this paper · explained in 3 episodes
Distribution Shift — 1× in this paper · explained in 6 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Multimodal Dataset — 1× in this paper · explained in 2 episodes
Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction

Terminology

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