Graph-Augmented Topological Internalization with Dual-Stream Classifiers for Medical Report Generation

arXiv:2605.02376 · cs.CV · Submitted 2026-05-04 · Read on arXiv

cs.CV

Submitted: 2026-05-04

Updated: 2026-09-18

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

Terminology

Medical Report Generation — 20× in this paper
Grounding — 16× in this paper · explained in 3 episodes
Alignment — 15× in this paper · explained in 1 episode
Ablation — 12× in this paper · explained in 1 episode
Clinical Efficacy — 12× in this paper
Visual Grounding — 11× in this paper · explained in 2 episodes
Topological Knowledge Internalization — 10× in this paper
Ablation study — 9× in this paper · explained in 1 episode
Hallucination — 9× in this paper · explained in 3 episodes
Core — 8× in this paper · explained in 2 episodes
Diagnosis-Guided Spatial Attention — 8× in this paper
Transformer — 8× in this paper · explained in 2 episodes
Accuracy — 6× in this paper · explained in 1 episode
Generalization — 6× in this paper · explained in 13 episodes
Graph Convolutional Network — 6× in this paper
Embeddings — 5× in this paper · explained in 2 episodes
Sparsity — 5× in this paper · explained in 4 episodes
AUC — 4× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Diagnostic Semantic Enhancement — 4× in this paper
Over-smoothing — 4× in this paper · explained in 4 episodes
Adjacency Matrix — 3× in this paper · explained in 1 episode
Decoupling — 3× in this paper · explained in 2 episodes
Graph Construction — 3× in this paper · explained in 3 episodes
Multimodal Feature Alignment — 3× in this paper
Multimodal Language Decoding — 3× in this paper
Natural Language Generation — 3× in this paper
Prompt Masking — 3× in this paper
Regularization — 3× in this paper · explained in 3 episodes
Zero-Shot Generalization — 3× in this paper · explained in 5 episodes
Calibration — 2× in this paper · explained in 7 episodes
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Cosine Similarity — 2× in this paper · explained in 3 episodes
Domain Shift — 2× in this paper · explained in 4 episodes
F1 Score — 2× in this paper · explained in 3 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Knowledge Graph — 2× in this paper · explained in 7 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Structural Constraints — 2× in this paper · explained in 2 episodes
Visual Feature Extraction — 2× in this paper
Ablation Studies — 1× in this paper · explained in 1 episode
Adaptive Strategy — 1× in this paper · explained in 1 episode
Area Under the Curve — 1× in this paper
Area Under the Curve (AUC) — 1× in this paper · explained in 1 episode
Automatic Medical Report Generation — 1× in this paper
Benchmarking — 1× in this paper · explained in 3 episodes
Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Coupled with the Optimal Threshold Selection — 1× in this paper
Fine-Tuning — 1× in this paper · explained in 5 episodes
Guided attention — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Knowledge graphs — 1× in this paper · explained in 2 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Semantic Alignment — 1× in this paper · explained in 3 episodes
Semantic Gap — 1× in this paper · explained in 2 episodes
Structural Integrity — 1× in this paper · explained in 3 episodes
Two-stage training — 1× in this paper · explained in 2 episodes
Weighted Focal Loss — 1× in this paper

Terminology

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