The impact of semi-automatic segmentation methods on metabolic tumor volume, intensity and dissemination radiomics in 18F-FDG PET scans of patients with classical Hodgkin lymphoma.

MLA

Driessen, Julia, et al. “The Impact of Semi-Automatic Segmentation Methods on Metabolic Tumor Volume, Intensity and Dissemination Radiomics in 18F-FDG PET Scans of Patients with Classical Hodgkin Lymphoma.” Journal of Nuclear Medicine, vol. 63, no. 2, Feb. 2022, pp. 1–25. EBSCOhost, https://doi.org/10.2967/jnumed.121.263067.

APA

Driessen, J., Zwezerijnen, G. J. C., Schöder, H., Drees, E. E. E., Kersten, M. J., Moskowitz, A. J., Moskowitz, C. H., Eertink, J. J., de Vet, H. C. W., Hoekstra, O. S., Zijlstra, J. M., & Boellaard, R. (2022). The impact of semi-automatic segmentation methods on metabolic tumor volume, intensity and dissemination radiomics in 18F-FDG PET scans of patients with classical Hodgkin lymphoma. Journal of Nuclear Medicine, 63(2), 1–25. https://doi.org/10.2967/jnumed.121.263067

Chicago

Driessen, Julia, Gerben J. C. Zwezerijnen, Heiko Schöder, Esther E. E. Drees, Marie José Kersten, Alison J. Moskowitz, Craig H. Moskowitz, et al. 2022. “The Impact of Semi-Automatic Segmentation Methods on Metabolic Tumor Volume, Intensity and Dissemination Radiomics in 18F-FDG PET Scans of Patients with Classical Hodgkin Lymphoma.” Journal of Nuclear Medicine 63 (2): 1–25. doi:10.2967/jnumed.121.263067.