MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
- 类型:arxiv
- 标识:2607.07673
- 链接:https://arxiv.org/abs/2607.07673
- 主分类:multimodal
- 形态:method
- 被引:0
- 被引来源:Semantic Scholar + OpenAlex
- S2被引:0
- OpenAlex被引:0
- 影响力被引:0
- TLDR:MedPMC, an automated, continuously updatable framework that transforms permissively licensed literature into high-fidelity infrastructure for medical multimodal models, is introduced and publicly release the framework, corpus, benchmarks, and pretrained models.
- OpenAlex ID:W7167835064
- OpenAlex DOI:10.48550/arxiv.2607.07673
- DOI:10.48550/arxiv.2607.07673
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://doi.org/10.48550/arxiv.2607.07673
- OpenAlex更新:2026-07-19
- 待LLM分类:否
- 标题中文:MedPMC:面向基础模型的高保真医学多模态数据规模化系统框架
- TLDR中文:提出 MedPMC——一种自动化、可持续更新的框架,可将宽松许可的文献转化为面向医学多模态模型的高保真基础设施,并公开发布该框架、语料库、基准与预训练模型。
- 来源文件:
- /inbox/tom/_candidates/2026-07-14-rag-retrieval-reranking-candidates.json
- /inbox/tom/_candidates/2026-07-14-agent-rag-longcontext-candidates.json
- [S2 enrich]
- [OpenAlex backfill]