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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/Filter
Images (.SVS, 53 GB)
Supplemental Data (CSV)

Please note that Box has a 15GB download limit, so you will need to download images in batches.

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

Public collection license
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 Geneslaw, Allen Miraflor, Vitor Werneck Krauss Silva, Klaus J. Busam, Edi Brogi, Victor E. Reuter, David S. Klimstra, Thomas J. Fuchs, Nature Medicine, July 2019


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 Type Download all or Query/Filter
Images (.SVS, 53 GB)
Supplemental Data (CSV)

Please note that Box has a 15GB download limit, so you will need to download images in batches.