This page provides citations for the TCIA Computed Tomography (CT) Lymph Nodes dataset.
For an overview of TCIA requirements, see License and attribution on the main TCIA page.
For information about accessing the data, see GCP data access.
Holger, Roth, Lu, Le, Seff, Ari, Cherry, Kevin M, Hoffman, Joanne, Wang, Shijun, … Summers, Ronald M. (2015). A new 2.5 D representation for lymph node detection in CT. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.AQIIDCNM
Roth, Holger R and Lu, Le and Seff, Ari and Cherry, Kevin M and Hoffman, Joanne and Wang, Shijun and Liu, Jiamin and Turkbey, Evrim and Summers, Ronald M. A new 2.5 D representation for lymph node detection using random sets of deep convolutional neural network observations. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2014, p520-527, 2014. (link)
Seff, Ari and Lu, Le and Cherry, Kevin M and Roth, Holger R and Liu, Jiamin and Wang, Shijun and Hoffman, Joanne and Turkbey, Evrim B and Summers, Ronald M. 2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2014, p544-552, 2014. (link)
Cite the following paper when using the segmentation masks:
A Seff, L Lu, A Barbu, H Roth, HC Shin, RM Summers. Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015, 53-61 (http://link.springer.com/chapter/10.1007/978-3-319-24571-3_7)
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. (paper)