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Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add shared mapping function F in the encoder (ablation) | KGAE unsupervised · IU X-ray | BLEU-4: 0.086 -> 0.109 | Helped |
| add shared mapping function F in the encoder (ablation) | KGAE unsupervised · MIMIC-CXR | BLEU-4: 0.032 -> 0.045 | Helped |
| add knowledge bank (10,000) to decoder (ablation) | KGAE unsupervised · IU X-ray | BLEU-4: 0.109 -> 0.126 | Helped |
| add knowledge bank (10,000) to decoder (ablation) | KGAE unsupervised · MIMIC-CXR | BLEU-4: 0.045 -> 0.062 | Helped |
| add shared mapping function F in the encoder (ablation) | KGAE-Supervised · IU X-ray | BLEU-4: 0.166 -> 0.162 | Hurt |
| add shared mapping function F in the encoder (ablation) | KGAE-Supervised · MIMIC-CXR | BLEU-4: 0.104 -> 0.101 | No clear effect |
| add knowledge bank (10,000) to decoder (ablation) | KGAE-Supervised · MIMIC-CXR | BLEU-4: 0.101 -> 0.118 | Helped |
| increase knowledge bank from 10,000 to 15,000 (ablation) | KGAE-Supervised · IU X-ray | BLEU-4: 0.179 -> 0.170 | Hurt |
| increase knowledge bank from 10,000 to 15,000 (ablation) | KGAE unsupervised · MIMIC-CXR | BLEU-4: 0.062 -> 0.059 | Hurt |
| build knowledge graph from IU X-Ray only instead of MIMIC-CXR (ablation) | KGAE unsupervised · IU X-ray | BLEU-4: 0.126 -> 0.114 | Hurt |
| fine-tune unsupervised KGAE with 100% image-report pairs | KGAE · MIMIC-CXR | BLEU-4: 0.062 -> 0.118 | Helped |
| fine-tune with 60% pairs instead of unsupervised only | KGAE · MIMIC-CXR | clinical efficacy F1: 0.156 -> 0.307 | Helped |
Closest papers by meaning
- DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching (AAAI 2025 · similarity 0.85)
- KPL: Training-Free Medical Knowledge Mining of Vision-Language Models (AAAI 2025 · similarity 0.85)
- Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation (CVPR 2024 · similarity 0.85)
- LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies (AAAI 2025 · similarity 0.85)
- PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation (AAAI 2024 · similarity 0.84)
- MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation (AAAI 2025 · similarity 0.84)
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