KGLMQA: enhancing medical visual question answering with knowledge graphs and LLMs
Medical Visual Question Answering (MedVQA) leverages computer vision and natural language processing techniques to assist in clinical decision-making. However, existing models frequently encounter challenges such as restricted multimodal interaction, insufficient guidance from external medical knowl...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
PeerJ Inc.
2026-03-01
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| Collection: | PeerJ Computer Science |
| Sujets: | |
| Accès en ligne: | https://peerj.com/articles/cs-3679.pdf |
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