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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 |
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Images and Segmentations (DICOM, XX.X GB) | (Download requires the NBIA Data Retriever) | Clinical data with description (XLSX) | | Software/Source Code (External weblink to github) | Tcia button generator |
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ext | true |
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label | Search |
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url | https://github.com/fuentesdt/livermask |
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Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
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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 noncommercial |
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| DOI goes here. Create using Datacite with information from Collection Approval form Moawad A, Fuentes D, Elsayes K. Multimodality annotated HCC cases with and without advanced imaging segmentation. Ahmed W. Moawad, MD | David Fuentes, PhD | Ali Morshid, MD | Ahmed M. Khalaf | Mohab M. Elmohr | Abdelrahman abusaif, MD | John D. Hazle, PhD | Ahmed O. Kaseb, MD | Manal Hassan, MD | Armeen Mahvash, MD | Janio Szklaruk, MD | Aliyya Qayyom, MD | Khaled M. Elsayes, MD |
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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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| Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal. |
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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. |
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| Version X (Current): Updated yyyy/mm/ddData Type | Download all or Query/Filter |
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Images (DICOM, xx.x GB) | | Clinical Data (CSV) | Link | Software/Source Code (web) | |
<< One or two sentences about what you changed since last version. No note required for version 1. >> |
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