MAKE

🚀 多方面知识增强的零样本皮肤病评估模型

本项目聚焦于零样本皮肤病评估，借助多方面知识增强的视觉 - 语言预训练技术，为皮肤病研究和诊断提供了有效的工具。

📚 详细文档

模型相关信息

引用信息

如果您在研究中发现我们的工作很有用，请考虑引用我们的论文：

@misc{yan2025makemultiaspectknowledgeenhancedvisionlanguage,
      title={MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment}, 
      author={Siyuan Yan and Xieji Li and Ming Hu and Yiwen Jiang and Zhen Yu and Zongyuan Ge},
      year={2025},
      eprint={2505.09372},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2505.09372}, 
}

@misc{yan2025derm1mmillionscalevisionlanguagedataset,
      title={Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology}, 
      author={Siyuan Yan and Ming Hu and Yiwen Jiang and Xieji Li and Hao Fei and Philipp Tschandl and Harald Kittler and Zongyuan Ge},
      year={2025},
      eprint={2503.14911},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.14911}, 
}

📄 许可证

本项目采用 MIT 许可证。