Cite
Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.
MLA
Guo, Rui, et al. “Weakly Supervised Deep Learning for Determining the Prognostic Value of 18F-FDG PET/CT in Extranodal Natural Killer/T Cell Lymphoma, Nasal Type.” European Journal of Nuclear Medicine & Molecular Imaging, vol. 48, no. 10, Sept. 2021, pp. 3151–61. EBSCOhost, https://doi.org/10.1007/s00259-021-05232-3.
APA
Guo, R., Hu, X., Song, H., Xu, P., Xu, H., Rominger, A., Lin, X., Menze, B., Li, B., & Shi, K. (2021). Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type. European Journal of Nuclear Medicine & Molecular Imaging, 48(10), 3151–3161. https://doi.org/10.1007/s00259-021-05232-3
Chicago
Guo, Rui, Xiaobin Hu, Haoming Song, Pengpeng Xu, Haoping Xu, Axel Rominger, Xiaozhu Lin, Bjoern Menze, Biao Li, and Kuangyu Shi. 2021. “Weakly Supervised Deep Learning for Determining the Prognostic Value of 18F-FDG PET/CT in Extranodal Natural Killer/T Cell Lymphoma, Nasal Type.” European Journal of Nuclear Medicine & Molecular Imaging 48 (10): 3151–61. doi:10.1007/s00259-021-05232-3.