The Cancer Imaging Archive (TCIA) Public Access

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  • Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression (Adrenal-ACC-Ki67-Seg)

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We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Mohab M. Elmohr

  • Aya A. Ahmed

  • 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.

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Localtab
activetrue
titleData Access

Data Access

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Images and Segmentations (DICOM, XX.X GB)



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Clinical data (CSV)


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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

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Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

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Info
titleData Citation

DOI <coming soon>
Title: Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression (Adrenal-Ki67-Seg) [Dataset]
Authors: Ahmed W. Moawad (https://orcid.org/0000-0001-6860-1513), Khaled M. Elsayes (https://orcid.org/0000-0003-0184-0717), David T. fuentes (https://orcid.org/0000-0002-2572-6962), M.A. Habra, S.B. Fisher, N.D. Perrier, M. Zhang, K.M. Elsayes

2022 goes here. Create using Datacite with information from Collection Approval form



Info
titlePublication Citation
We ask on the proposal form if they have ONE traditional publication they'd like users to cite.

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


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

1 (Current): Updated

yyyy

2022/

mm

01/dd

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


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labelSearch



(Requires NBIA Data Retriever.)

Clinical Data (CSV)Link

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