Localtab |
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active | true |
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title | Data Access |
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| Data AccessClick the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
Data Type | Download all or Query/Filter |
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Images and Segmentations (DICOM, 40.7GB) | | Clinical Data (CSV, 82 kB) | | Note: The segmentation corresponds to the arterial phase in every case. No processing or analysis was done on the other phases. Click the Versions tab for more info about data releases. |
Localtab |
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title | Detailed Description |
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| Detailed Description
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Modalities | CT, SEG | Number of Participants | 210 | Number of Studies | 210 | Number of Series | 621 | Number of Images | 71,423 | Image Size (GB) | 40.7 |
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Localtabinfo |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Public collection license |
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Info |
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| Heller, N., Sathianathen, N., Kalapara, A., Walczak, E., Moore, K., Kaluzniak, H., Rosenberg, J., Blake, P., Rengel, Z., Oestreich, M., Dean, J., Tradewell, M., Shah, A., Tejpaul, R., Edgerton, Z., Peterson, M., Raza, S., Regmi, S., Papanikolopoulos, N., Weight, C. (2019) Data from C4KC-KiTS C4KC KiTS Challenge Kidney Tumor Segmentation Dataset [Data set]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/TCIA.2019.IX49E8NX |
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title | Publication Citation |
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| Heller, N., Isensee, F., Maier-Hein, K. H., Hou, X., Xie, C., Li, F., Nan, Y., Mu, G., Lin, Z., Han, M., Yao, G., Gao, Y., Zhang, Y., Wang, Y., Hou, F., Yang, J., Xiong, G., Tian, J., Zhong, C., … Weight, C. (2021). The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Analysis, 67, 101821. https://doi.org/10.1016/j.media.2020.101821 |
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| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. If you have a publication you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 3 (Current): Updated 2020/06/18Data Type | Download all or Query/Filter |
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Images and Segmentations (DICOM, 40.7GB) | | Clinical Data (CSV, 82 kB) | |
Upon initial publication of this dataset the segmentations were stored as sagittal series, while the CT images are axial. This caused difficulties loading this dataset into various DICOM tools. Those segmentations have now been converted (in a lossless fashion) to axial to resolve these issues. Version 2: Updated 2020/03/23
Data Type | Download all or Query/Filter |
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Images and Segmentations (DICOM, 40.7GB) | Unavailable, see version 3 note. | Clinical Data (CSV, 82 kB) | | Added clinical data spreadsheet. Version 1: Updated 2019/12/18 Data Type | Download all or Query/Filter |
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Images (DICOM, 40.7GB) | Unavailable, see version 3 note. |
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