Data AccessData Type | Download all or Query/Filter | License |
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Images and Segmentations (DICOM, 9.9 GB)
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(Download requires the NBIA Data Retriever) | | Clinical data (CSV, 108 kB) | | |
Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
Detailed DescriptionImage Statistics | Radiology Image statistics |
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Modalities | CT, SEG | Number of Patients | 53 | Number of Studies | 65 | Number of Series | 177 | Number of Images | 18,255 | Images Size (GB) | 9.9 GB |
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Citations & Data Usage Policy
Moawad, A. W., Ahmed, A. A., ElMohr, M., Eltaher, M., Habra, M. A., Fisher, S., Perrier, N., Zhang, M., Fuentes, D., & Elsayes, K. (2023). Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression (Adrenal-ACC-Ki67-Seg) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/1FPG-VM46 |
Ahmed, A. A., Elmohr, M. M., Fuentes, D., Habra, M. A., Fisher, S. B., Perrier, N. D., Zhang, M., & Elsayes, K. M. (2020). Radiomic mapping model for prediction of Ki-67 expression in adrenocortical carcinoma. In Clinical Radiology (Vol. 75, Issue 6, p. 479.e17-479.e22). Elsevier BV. https://doi.org/10.1016/j.crad.2020.01.012 |
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: https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Version 1 (Current): Updated 2023/05/15Data Type | Download all or Query/Filter |
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Images (DICOM, 9.9 GB) |
(Download requires the NBIA Data Retriever) |
| Clinical data (CSV) | | |
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