Med CXRGen I

🚀 Med-CXRGen-I模型卡片

Med-CXRGen-I是一個用於放射學報告生成的多模態大語言模型，專注於印象部分的生成。它基於特定的基礎模型進行微調，在相關數據集上進行訓練，為醫學影像領域的報告生成任務提供了有效的解決方案。

📦 模型信息

📚 論文與資源

有關Med-CXRGen-I的詳細信息，包括其架構、訓練策略和評估，請參考以下資源：

• 📄 論文：Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation
• 💻 代碼倉庫：GitHub: Med-CXRGen

📄 引用方式

如果您在學術或研究中使用此模型，請按以下格式引用：

@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",
}