| # AbdomenCT-1K |
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| ## License |
| **CC BY 4.0** |
| [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/) |
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| ## Citation |
| Paper BibTeX: |
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| ```bibtex |
| @article{ma2021abdomenct, |
| title={Abdomenct-1k: Is abdominal organ segmentation a solved problem?}, |
| author={Ma, Jun and Zhang, Yao and Gu, Song and Zhu, Cheng and Ge, Cheng and Zhang, Yichi and An, Xingle and Wang, Congcong and Wang, Qiyuan and Liu, Xin and others}, |
| journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, |
| volume={44}, |
| number={10}, |
| pages={6695--6714}, |
| year={2021}, |
| publisher={IEEE} |
| } |
| ``` |
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| ## Dataset description |
| AbdomenCT-1K is a large, diverse abdominal CT organ segmentation dataset with over 1,000 scans from 12 medical centers, covering multiple phases, vendors, and diseases. It serves as a benchmark to reveal and address the limited generalization of state-of-the-art methods, providing tasks for fully, semi-, weakly supervised, and continual learning research. |
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| **Challenge homepage**: https://abdomenct-1k-fully-supervised-learning.grand-challenge.org/ |
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| **Number of CT volumes**: 1062 |
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| **Contrast**: Contrast-enhanced (multi-phase: plain, arterial, portal) |
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| **CT body coverage**: Abdomen |
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| **Does the dataset include any ground truth annotations?**: Yes |
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| **Original GT annotation targets**: Liver, spleen, kidney, pancreas |
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| **Number of annotated CT volumes**: 1000 |
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| **Annotator**: Initial model + manual refinement |
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| **Acquisition centers**: 12 medical centers |
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| **Pathology/Disease**: Lesions in one or more labeled organs, including benign/malignant liver lesions and cancers of the pancreas, colon, and liver |
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| **Original dataset download link**: |
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| Part 1: https://zenodo.org/records/5903099 |
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| Part 2: https://zenodo.org/records/5903846 |
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| Part 3: https://zenodo.org/records/5903769 |
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| **Original dataset format**: nifti |
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