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CuriaBench

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魔搭社区2025-12-05 更新2025-11-03 收录
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https://modelscope.cn/datasets/raidium/CuriaBench
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<div align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/62cdea59a9be5c195561c2b8/JaS4YslW9wFR8dZ7LMawz.png" width="40%" alt="Raidium" /> </div> <hr> <p align="center"> <a href="https://github.com/raidium-med/curia"><b>🌟 Github</b></a> | <a href="https://arxiv.org/abs/2509.06830"><b>📄 Paper Link</b></a> | <a href="https://raidium.eu/bench"><b>🌐 Blog post</b></a> </p> <h2> <p align="center"> <h1 align="center">CuriaBench; Benchmark for the paper Curia: A Multi-Modal Foundation Model for Radiology</h1> </p> </h2> <div align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/62cdea59a9be5c195561c2b8/RJLhOQBQSyqgkoDWd5pLt.png" width="40%" alt="Raidium" /> </div> <hr> ## Usage This repo contains evaluation datasets fro mthe Curia paper https://arxiv.org/abs/2509.06830. You can run the curia evaluation pipeline using our github repo at https://github.com/raidium-med/curia. The Curia-B model is available on huggingface: https://huggingface.co/raidium/curia ## Acknowledgments The benchmark has been built from the following public datasets: - CT Organ Recognition — TotalSegmentator (CT) — Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator - MRI Organ Recognition — TotalSegmentator MRI — D’Antonoli et al., arXiv:2405.19492, 2024. https://arxiv.org/abs/2405.19492 - Cross-Modality Organ Recognition — TotalSegmentator CT & MRI — Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator - Neuroimaging Age Estimation — IXI Dataset — Brain Development Project. https://brain-development.org/ixi-dataset/ - Lung Nodule Malignancy — LUNA16 — Setio et al., Med. Image Anal., 2017. https://luna16.grand-challenge.org/ - Kidney Lesion Malignancy — KiTS23 — Heller et al., arXiv:2307.01984, 2023. https://kits-challenge.org/ - Tumor Localisation — DeepLesion — Yan et al., J. Med. Imaging, 2018. https://nihcc.app.box.com/v/DeepLesion - ACL Tear — KneeMRI dataset — Štajduhar et al., Comput. Methods Programs Biomed., 2017. https://zenodo.org/records/14789903 - Myocardial Infarction — EMIDEC — MICCAI 2020 Challenge. https://emidec.com/ - Stroke — ATLAS v2.0 — Liew et al., Front. Neuroinform., 2022. https://fcon_1000.projects.nitrc.org/indi/retro/atlas.html - Alzheimer’s Disease — OASIS-1 — Marcus et al., J. Cogn. Neurosci., 2007. https://www.oasis-brains.org/ - Pulmonary Infections — COVIDx CT — Gunraj et al., Front. Med., 2021. https://github.com/haydengunraj/COVIDNet-CT/blob/master/docs/dataset.md ## Cite our paper ``` @article{dancette2025curia, title={Curia: A Multi-Modal Foundation Model for Radiology}, author={Dancette, Corentin and Khlaut, Julien and Saporta, Antoine and Philippe, Helene and Ferreres, Elodie and Callard, Baptiste and Danielou, Th{\'e}o and Alberge, L{\'e}o and Machado, L{\'e}o and Tordjman, Daniel and others}, journal={arXiv preprint arXiv:2509.06830}, year={2025} } ```
提供机构:
maas
创建时间:
2025-10-23
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