CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment

arXiv:2608.03247 · cs.CV, cs.CL · Submitted 2026-08-04 · Read on arXiv

Jing Dai, Qibin Zhang, Weiwei Zhou, Mingde Xu, Jingsong Liu, Jingdong Zhang, Hongming Xu

cs.CV, cs.CL

Submitted: 2026-08-04

Comments: Accepted at MICCAI 2026

Code: https://github.com/Daijing-ai/CIGT-Surv

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 8× in this paper · explained in 2 episodes
• Foundation Model — 6× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Maximum Mean Discrepancy — 4× in this paper
• Maximum Mean Discrepancy (MMD) — 4× in this paper · explained in 3 episodes
• Multimodal Learning — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Foundation Models — 3× in this paper · explained in 8 episodes
• Modality Gap — 3× in this paper · explained in 6 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Self-normalizing Neural Network — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 3 episodes
• Class Imbalance — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multi-Layer Perceptron — 1× in this paper
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reproducing Kernel Hilbert Space — 1× in this paper
• Reproducing Kernel Hilbert Space (RKHS) — 1× in this paper · explained in 7 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

Sources

• Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
• Multimodal Prototyping for cancer survival prediction

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