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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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Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, XX.X 255 GB)

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Clinical data (CSV)

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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

draft doi: https://doi.org/10.7937/tcia.985g-ey35


Info
titlePublication Citation

 ”Deep Learning for Prediction of Treatment effectiveness on Ovarian Cancer from histopathology images” (in submission to nature communications)


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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

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Localtab
titleVersions

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

Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, xx.x 255 GB)

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labelSearch

Clinical Data (CSV)Link
Other (format)

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