Med CXRGen I

🚀 Med-CXRGen-I模型卡片

Med-CXRGen-I是一个用于放射学报告生成的多模态大语言模型，专注于印象部分的生成。它基于特定的基础模型进行微调，在相关数据集上进行训练，为医学影像领域的报告生成任务提供了有效的解决方案。

📦 模型信息

📚 论文与资源

有关Med-CXRGen-I的详细信息，包括其架构、训练策略和评估，请参考以下资源：

• 📄 论文：Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation
• 💻 代码仓库：GitHub: Med-CXRGen

📄 引用方式

如果您在学术或研究中使用此模型，请按以下格式引用：

@inproceedings{zhang-etal-2024-gla,
    title = "Gla-{AI}4{B}io{M}ed at {RRG}24: Visual Instruction-tuned Adaptation for Radiology Report Generation",
    author = "Zhang, Xi  and
      Meng, Zaiqiao  and
      Lever, Jake  and
      Ho, Edmond S.L.",
    editor = "Demner-Fushman, Dina  and
      Ananiadou, Sophia  and
      Miwa, Makoto  and
      Roberts, Kirk  and
      Tsujii, Junichi",
    booktitle = "Proceedings of the 23rd Workshop on Biomedical Natural Language Processing",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.bionlp-1.54/",
    doi = "10.18653/v1/2024.bionlp-1.54",
    pages = "624--634",
}