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akahana/rontgen

Citation If you use the ROCOv2 dataset in your research, please cite the following paper: Pelka, O., Menze, B. H., & Rexhausen, S. E. (2023). Radiology Objects in COntext version 2 (ROCOv2): A multimodal dataset for medical image analysis. arXiv preprint arXiv:2405.10004. @misc {ronan_l.m._2024, author = { {Ronan L.M.} }, title = { ROCOv2-radiology (Revision 5d66908) }, year = 2024, url = {… See the full description on the dataset page: https://huggingface.co/datasets/akahana/rontgen.

sourceHugging Faceupdated 2y agoView on Hugging Face
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Citation

If you use the ROCOv2 dataset in your research, please cite the following paper:

Pelka, O., Menze, B. H., & Rexhausen, S. E. (2023). Radiology Objects in COntext version 2 (ROCOv2): A multimodal dataset for medical image analysis. arXiv preprint arXiv:2405.10004.

latex
@misc {ronan_l.m._2024,
	author       = { {Ronan L.M.} },
	title        = { ROCOv2-radiology (Revision 5d66908) },
	year         = 2024,
	url          = { https://huggingface.co/datasets/eltorio/ROCOv2-radiology },
	doi          = { 10.57967/hf/3489 },
	publisher    = { Hugging Face }
}

License

The ROCOv2 dataset is licensed under the CC BY-NC-SA 4.0 license.

Acknowledgments

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.