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+ ## Citation
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+ If you use the ROCOv2 dataset in your research, please cite the following paper:
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+ Pelka, O., Menze, B. H., & Rexhausen, S. E. (2023). Radiology Objects in COntext version 2 (ROCOv2): A multimodal dataset for medical image analysis.
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+ arXiv preprint arXiv:2405.10004.
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+ ```latex
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+ @misc {ronan_l.m._2024,
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+ author = { {Ronan L.M.} },
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+ title = { ROCOv2-radiology (Revision 5d66908) },
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+ year = 2024,
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+ url = { https://huggingface.co/datasets/eltorio/ROCOv2-radiology },
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+ doi = { 10.57967/hf/3489 },
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+ publisher = { Hugging Face }
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+ }
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+ ```
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+ ## License
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+ The ROCOv2 dataset is licensed under the CC BY-NC-SA 4.0 license.
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+ ## Acknowledgments
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+ We acknowledge the National Library of Medicine (NLM) for providing access to the PMC Open Access Subset. We also acknowledge the creators of the Medical Concept Annotation Toolkit (MedCAT) for providing a valuable tool for concept extraction and annotation.