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  • Multimodality annotated HCC cases with and without advanced imaging segmentation (HCC-TACE-Seg)

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  • Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.

  • Continue with any names from additional submitting sites if collection consists of more that one.

  • Harmonization of the components of this dataset, including into standard DICOM representation, was supported in part by the NCI Imaging Data Commons consortium. NCI Imaging Data Commons consortium is supported by the contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI.

Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter

Images and Segmentations (DICOM, XX.X GB)

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labelSearch

(Download requires the NBIA Data Retriever)

Clinical data (CSV)

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Software/Source Code (weblink to github)

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labelSearch
urlhttps://github.com/fuentesdt/livermask

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

CT, SEG

Number of Patients

105

Number of Studies


Number of Series


Number of Images


Images Size (GB)

These SEG were originally created as NIfTI-format, and converted to DICOM.

Github link for the NN code: https://github.com/fuentesdt/livermask



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia license 4 noncommercial

Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval form


Info
titlePublication Citation

A Machine Learning Model to Predict Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization . <coming soon> DOI: https://doi.org/10.1148/ryai.2019180021


Info
titleAcknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.


Info
titleTCIA Citation

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 Data

TCIA 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
titleVersions

Version X (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

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Tcia button generator
labelSearch

(Requires NBIA Data Retriever.)

Clinical Data (CSV)Link
Software/Source Code (web)

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labelSearch

<< One or two sentences about what you changed since last version.  No note required for version 1. >> 


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