Sharing data for cancer research
Biblio
] Data from: A validated Tumor Control Probability model based on a meta-analysis of low, intermediate, and high-risk prostate cancer patients treated by photon, proton, or carbon-ion radiotherapy. 2015. doi:10.17195/candat.2015.10.8.
Walsh - TCP meta-analysis of patients treated with photon, proton and c-ion radiotherapy (CSV) (15.82 KB)
Walsh - TCP meta-analysis of patients treated with photon, proton and c-ion radiotherapy (XLS) (13.85 KB)
Walsh - TCP meta-analysis of patients treated with photon, proton and c-ion radiotherapy (CSV) (15.82 KB) Walsh - TCP meta-analysis of patients treated with photon, proton and c-ion radiotherapy (XLS) (13.85 KB) Data from: Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicenter in silico ROCOCO trial. 2016. doi:10.17195/candat.2016.04.2.
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006. doi:10.1038/ncomms5006.
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006. doi:10.1038/ncomms5006.
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer. Acta Oncol. 2013;52(7):1398-404. doi:10.3109/0284186X.2013.812795.
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. Radiother Oncol. 2012;105(2):167-73. doi:10.1016/j.radonc.2012.09.023.
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. Radiother Oncol. 2012;105(2):167-73. doi:10.1016/j.radonc.2012.09.023.
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. Radiother Oncol. 2012;105(2):167-73. doi:10.1016/j.radonc.2012.09.023.