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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  • 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:

  • "Wang et al. A dataset of histopathological whole slide images for classification of Treatment effectiveness to ovarian cancer" in preparation to submit to nature scientific data. . Nature Scientific Data (In submission)


Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, 247 GB)

Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/135?passcode=356756128d7bac2ec5b90cabcfc4367585cbefc2

Clinical data (CSV)

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

280

Number of Images

282

Images Size (GB)247




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia license 4 international

Info
titleData Citation

draft doi: Wang, C.-W., Chang, C.-C., Lo, S.-C., Lin, Y.-J., Liou, Y.-A., Hsu, P.-C., Lee, Y.-C., & Chao, T.-K. (2021). A dataset of histopathological whole slide images for classification of Treatment effectiveness to ovarian cancer [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tciaTCIA.985g985G-ey35EY35


Info
titlePublication Citation
 ”Deep Wang et al. Deep Learning for Prediction of Treatment effectiveness on Ovarian Cancer from histopathology images” (in submission to nature communicationsimages. Medical Image Analysis (Under revision)


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 1 (Current): Updated 2021/05/24

Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, 247 GB)

Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/135?passcode=356756128d7bac2ec5b90cabcfc4367585cbefc2

Clinical Data (CSV)



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