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  • Breast Metastases to Axillary Lymph Nodes (SLN-Breast)

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Localtab Group



Localtab
activetrue
titleData Access

Data Access


Data TypeDownload all or Query/FilterLicense
Images (.SVS, 53 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/71?passcode=79b9a8885b0115c3c0d061d3954d2f78087637e5



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/imagesearch?f%5B0%5D=collection:sln_breast



 

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

Tcia cc by 3

Supplemental Data (CSV)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/52763339/target.csv?version=1&modificationDate=1563461391272&api=v2



(Download requires the NBIA Data Retriever)

Tcia cc by 3



Click the Versions tab for more info about data releases.




Localtab
titleDetailed Description

Detailed Description


Image Statistics


Modalities

Pathology

Number of Participants

78

Number of Images

130

Images Size (GB)53


Explanation of target.csv files

target.csv contains a binary label for each slide image in the dataset.

  • target=1 means that the image contains breast cancer metastases.
  • target=0 means that the image does not contain breast cancer metastases.




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

"Campanella, G., Hanna, M. G., Brogi, E., & Fuchs, T. J. (2019). Breast Metastases to Axillary Lymph Nodes [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.3xbn2jcc"


Info
titlePublication Citation

“Clinical-grade Computational Pathology using Weakly Supervised Deep Learning on Whole Slide Images”, Gabriele Campanella, Matthew G., Hanna, Luke M. G., Geneslaw, Allen L., Miraflor, Vitor A., Werneck Krauss Silva, Klaus , V., Busam, K. J. Busam, Edi Brogi, Victor E., Reuter, David SV. E., Klimstra, Thomas J. Fuchs, Nature Medicine, July 2019D. S., & Fuchs, T. J. (2019). Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nature Medicine (Vol. 25, Issue 8, pp. 1301–1309). Springer Science and Business Media LLC. https://doi.org/10.1038/s41591-019-0508-1


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 2019/07/18


Data TypeDownload all or Query/Filter
Images (.SVS, 53 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/71?passcode=79b9a8885b0115c3c0d061d3954d2f78087637e5



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/imagesearch?f%5B0%5D=collection:sln_breast



 

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

Supplemental Data (CSV)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/52763339/target.csv?version=1&modificationDate=1563461391272&api=v2



(Download requires the NBIA Data Retriever)






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