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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 Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense
Tissue Slide Images (SVS, 253.8 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/221?passcode=15bbd6ad41dc98fff70949c70f4b9ef55c954cca



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/imagesearch?f[0]=collection:ovarian_bevacizumab_response




(Download and apply
the 
the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Tcia cc by 4

Clinical data (XLS)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/83593077/Final%20CA125%20data.xlsx?version=1&modificationDate=1635173486180&api=v2



Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/83593077/Final%20patient_list.xlsx?version=1&modificationDate=1635347941808&api=v2



Tcia cc by 4

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

78

Number of Images

288

Images Size (GB)253.8

Slides include 162 effective and 126 invalid images.



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

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/TCIA.985G-EY35


Info
titlePublication Citation

Wang, C.-W., Chang, C.-C., Lee, Y.-C., Lin, Y.-J., Lo, S.-C., Hsu, P.-C., Liou, Y.-A., Wang, C.-H., & Chao, T.-K. (2022). Weakly Supervised Deep Learning for Prediction of Treatment Effectiveness on Ovarian Cancer from Histopathology Images. In Computerized Medical Imaging and Graphics (p. 102093). Elsevier BV. https://doi.org/10.1016/j.compmedimag.2022.102093


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, 253.8 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/221?passcode=15bbd6ad41dc98fff70949c70f4b9ef55c954cca



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/imagesearch?f[0]=collection:ovarian_bevacizumab_response
Image Removed


(Download and apply the the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Clinical Data (XLS)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/83593077/Final%20CA125%20data.xlsx?version=1&modificationDate=1635173486180&api=v2




Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/83593077/Final%20patient_list.xlsx?version=1&modificationDate=1635347941808&api=v2






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