The Cancer Imaging Archive (TCIA) Public Access

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  • A dataset of histopathological whole slide images for classification of Treatment effectiveness to ovarian cancer (Ovarian Bevacizumab Response)

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

  • This research study is supported by the ministry of science and technology, Taiwan (MOST-108-2221-E-011-070 and 109-2221-E-011-018-MY3), and Tri-Service General Hospital, Taipei, Taiwan (TSGH-C108086 and TSGH-D-109094)

Additional Citations:

  • "A dataset of histopathological whole slide images for classification of Treatment effectiveness to ovarian cancer" in preparation to submit to nature scientific data

  • 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.


Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, XX.X GB)

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labelSearch

Clinical data (CSV)

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Genomics (web)

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labelSearch

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

Pathology

Number of Patients


Number of Studies


Number of Series


Number of Images

288

Images Size (GB)255

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Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia license 4 international

Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval formdraft doi: https://doi.org/10.7937/tcia.985g-ey35


Info
titlePublication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite. ”Deep Learning for Prediction of Treatment effectiveness on Ovarian Cancer from histopathology images” (in submission to nature communications)


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
Tissue Slide Images (SVS, xx.x GB)

Tcia button generator

Tcia button generator
labelSearch

Clinical Data (CSV)Link
Other (format)

Tcia button generator
labelSearch

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