Development of a large-scale medical visual question-answering dataset
The PMC-VQA dataset proves to be an essential resource for the research community, and our model marks a significant breakthrough in MedVQA. We maintain a leaderboard to facilitate comprehensive evaluation and comparison, providing a centralized resource for benchmarking state-of-the-art approaches.
Authors
- Xiaoman Zhang (ORCID: https://orcid.org/0000-0002-7696-9366)
- Weidi Xie (ORCID: https://orcid.org/0009-0002-8609-6826)
- Chaoyi Wu (ORCID: https://orcid.org/0009-0004-1374-011X)
- Ya Zhang (ORCID: https://orcid.org/0000-0002-5390-9053)
- Weixiong Lin
- Ziheng Zhao (ORCID: https://orcid.org/0009-0004-6278-5437)
- Yanfeng Wang (ORCID: https://orcid.org/0000-0002-3196-2347)
Institutions
- Shanghai Jiao Tong University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Shanghai Artificial Intelligence Laboratory (CN)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-12-21
- DOI
- https://doi.org/10.1038/s43856-024-00709-2
- Citations
- 25
- Primary Topic
- Multimodal Machine Learning Applications
- Type
- article
- Field-Weighted Citation Impact
- 6.23