Clustering of multi-parametric functional imaging to identify high-risk subvolumes in non-small cell lung cancer.

MLA

Even, Aniek J. G., et al. “Clustering of Multi-Parametric Functional Imaging to Identify High-Risk Subvolumes in Non-Small Cell Lung Cancer.” Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology, vol. 125, no. 3, Dec. 2017, pp. 379–84. EBSCOhost, https://doi.org/10.1016/j.radonc.2017.09.041.

APA

Even, A. J. G., Reymen, B., La Fontaine, M. D., Das, M., Mottaghy, F. M., Belderbos, J. S. A., De Ruysscher, D., Lambin, P., & van Elmpt, W. (2017). Clustering of multi-parametric functional imaging to identify high-risk subvolumes in non-small cell lung cancer. Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology, 125(3), 379–384. https://doi.org/10.1016/j.radonc.2017.09.041

Chicago

Even, Aniek J G, Bart Reymen, Matthew D La Fontaine, Marco Das, Felix M Mottaghy, José S A Belderbos, Dirk De Ruysscher, Philippe Lambin, and Wouter van Elmpt. 2017. “Clustering of Multi-Parametric Functional Imaging to Identify High-Risk Subvolumes in Non-Small Cell Lung Cancer.” Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology 125 (3): 379–84. doi:10.1016/j.radonc.2017.09.041.