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active | true |
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter | License |
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Images and Segmentations (DICOM, 26.6 GB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70230229/HCC-TACE-Seg_v1_202201.tcia?api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=HCC-TACE-Seg |
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(Download requires the NBIA Data Retriever)
| | Clinical data with description (XLSX) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70230229/HCC-TACE-Seg_clinical_data-V2.xlsx |
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Click the Versions tab for more info about data releases. Additional Resources for this DatasetThe following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection. The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
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title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | CT, SEG | Number of Patients | 105 | Number of Studies | 214 | Number of Series | 677 | Number of Images | 51,968 | Images Size (GB) | 26.6 |
These SEG were originally created as NIfTI format files (Amira Software, ThermoFisher 2019) , and converted to DICOM. Github link for the NN code: https://github.com/fuentesdt/livermask Note - the mask on Patient ID HCC_001 (SEG file Series UID 1.2.276.0.7230010.3.1.3.8323329.719.1600928570.399942) has a slightly different dimension than the CT (Series UI 1.3.6.1.4.1.14519.5.2.1.1706.8374.302065206690360709343725942120) . This difference is is far from the interesting features and the masks, so clinical interpretation should be unaffected by this discrepancy. |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia license 4 international |
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Info |
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| Moawad, A. W., Fuentes, D., Morshid, A., Khalaf, A. M., Elmohr, M. M., Abusaif, A., Hazle, J. D., Kaseb, A. O., Hassan, M., Mahvash, A., Szklaruk, J., Qayyom, A., & Elsayes, K. (2021). Multimodality annotated HCC cases with and without advanced imaging segmentation [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.5FNA-0924 |
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title | Publication Citation |
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| Morshid, A., Elsayes, K. M., Khalaf, A. M., Elmohr, M. M., Yu, J., Kaseb, A. O., Hassan, M., Mahvash, A., Wang, Z., Hazle, J. D., & Fuentes, D. (2019). A Machine Learning Model to Predict Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization. Radiology: Artificial Intelligence, 1(5), e180021. https://doi.org/10.1148/ryai.2019180021 |
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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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 1 (Current): Updated 2022/08/17Data Type | Download all or Query/Filter | License |
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Images and Segmentations (DICOM, 26.6 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70230229/HCC-TACE-Seg_v1_202201.tcia?api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=HCC-TACE-Seg |
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(Download requires the NBIA Data Retriever) | | Clinical data with description (XLSX) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70230229/HCC-TACE-Seg_clinical_data-V2.xlsx |
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