AFRICAI_MICCAI2024_CTSpine1K

Collection of data from the MICCAI 2024 CTSpine1K Dataset as part of the EuCanImage sponsored AFRICAI repository.

In this repository, we introduce a large-scale spine CT dataset called CTSpine1K, curated from multiple sources for vertebra segmentation, which contains 1,005 CT volumes with over 500,000 labeled vertebrae slices and 11,172 vertebrae belonging to different spinal conditions.

The data within this work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)

If you use our dataset, please cite our paper: Yang Deng, Ce Wang, Yuan Hui, et al. CtSpine1k: A large-scale dataset for spinal vertebrae segmentation in computed tomography. arXiv preprint arXiv:2105.14711 (2021).

Data and Resources

This dataset has no data

Additional Info

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Title AFRICAI_MICCAI2024_CTSpine1K
Description

Collection of data from the MICCAI 2024 CTSpine1K Dataset as part of the EuCanImage sponsored AFRICAI repository.

In this repository, we introduce a large-scale spine CT dataset called CTSpine1K, curated from multiple sources for vertebra segmentation, which contains 1,005 CT volumes with over 500,000 labeled vertebrae slices and 11,172 vertebrae belonging to different spinal conditions.

The data within this work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)

If you use our dataset, please cite our paper: Yang Deng, Ce Wang, Yuan Hui, et al. CtSpine1k: A large-scale dataset for spinal vertebrae segmentation in computed tomography. arXiv preprint arXiv:2105.14711 (2021).

Keywords
Contact points
Contact point 1
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Health-RI servicedesk
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servicedesk@health-ri.nl
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http://example.com/
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Publisher 1
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Health-RI
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http://health-ri.nl
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Creator 1
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Yang Deng
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Landing page
Release date 2024-12-09T10:47:27+00:00
Modification date 2024-12-09T10:47:27+00:00
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    Identifier https://xnat-acc.health-ri.nl/data/archive/projects/africai_miccai2024_ctspine1k
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    1. http://publications.europa.eu/resource/authority/data-theme/HEAL
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    1. http://id.loc.gov/vocabulary/iso639-1/en
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    URI https://fdp-acc.healthdata.nl/dataset/2fb8c03e-165e-4a39-a51b-87c2832b26c6