The purpose of the data within this repository is to collate the datasets that are utilised to build the public Radiotherapy AI models.
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
https://github.com/deepmind/tcia-ct-scan-dataset
S. Nikolov, S. Blackwell, R. Mendes, J. De Fauw, C. Meyer, C. Hughes, H. Askham, B. Romera-Paredes, A. Karthikesalingam, C. Chu, D. Carnell, C. Boon, D. D'Souza, S. A. Moinuddin, K. Sullivan, DeepMind Radiographer Consortium, H. Montgomery, G. Rees, R. Sharma, M. Suleyman, T. Back, J. R. Ledsam, O. Ronneberger, "Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy," 2018. Available: https://arxiv.org/abs/1809.04430
W. R. Bosch, W. L. Straube, J. W. Matthews, and J. A. Purdy, "Head-neck cetuximab - the cancer imaging archive," 2015. Available: https://wiki.cancerimagingarchive.net/display/Public/Head-Neck+Cetuximab
C. L. Brouwer, R. J. H. M. Steenbakkers, J. Bourhis, W. Budach, C. Grau, V. Grégoire, M. vanHerk, A. Lee, P. Maingon, C. Nutting, B. O'Sullivan, S. V. Porceddu, D. I. Rosenthal, N. M.Sijtsema, and J. A. Langendijk, "CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG oncology andTROG consensus guidelines," Radiother. Oncol., vol. 117, no. 1, pp. 83-90, Oct. 2015. Available: http://dx.doi.org/10.1016/j.radonc.2015.07.041
M. L. Zuley, R. Jarosz, S. Kirk, L. Y., R. Colen, K. Garcia, and N. D. Aredes, "Radiology data from the cancer genome atlas head-neck squamous cell carcinoma [TCGA-HNSC] collection," 2016. Available: http://dx.doi.org/10.7937/K9/TCIA.2016.LXKQ47MS