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AusCAT Simulation Imaging Data

<p>This data is part of the NCLC Radiomics dataset provided by The Cancer Imaging Archive (TCIA) and is</p> <p>released under the Creative Commons Attribution 3.0 Unported License.</p> <p>&nbsp;</p> <p>CAUTION: This data is provided for experimental purposes only. Data is partly synthetically generated.</p> <p>&nbsp;</p> <p>Citations &amp; Data Usage Policy</p> <p>Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution</p> <p>3.0 Unported License under which it has been published. Attribution should include references to</p> <p>the following citations:</p> <p>&nbsp;</p> <p>Dataset Citation</p> <p>Aerts, H. J. W. L., Wee, L., Rios Velazquez, E., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F., Rietbergen, M. M., Leemans, C. R., Dekker, A., Quackenbush, J., Gillies, R. J., Lambin, P. (2019). Data From NSCLC-Radiomics [Data set]. The Cancer Imaging Archive. &lt;https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI&gt;</p> <p>&nbsp;</p> <p>Publication Citation</p> <p>Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F., Rietbergen, M. M., Leemans, C. R., Dekker, A., Quackenbush, J., Gillies, R. J., Lambin, P. (2014, June 3). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. Nature Publishing Group. &lt;https://doi.org/10.1038/ncomms5006&gt;</p> <p>&nbsp;</p> <p>TCIA Citation</p> <p>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. &lt;https://doi.org/10.1007/s10278-013-9622-7&gt;</p> <p>&nbsp;</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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