Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting.

MLA

Iantsen, Andrei, et al. “Convolutional Neural Networks for PET Functional Volume Fully Automatic Segmentation: Development and Validation in a Multi-Center Setting.” European Journal of Nuclear Medicine & Molecular Imaging, vol. 48, no. 11, Oct. 2021, pp. 3444–56. EBSCOhost, https://doi.org/10.1007/s00259-021-05244-z.

APA

Iantsen, A., Ferreira, M., Lucia, F., Jaouen, V., Reinhold, C., Bonaffini, P., Alfieri, J., Rovira, R., Masson, I., Robin, P., Mervoyer, A., Rousseau, C., Kridelka, F., Decuypere, M., Lovinfosse, P., Pradier, O., Hustinx, R., Schick, U., Visvikis, D., & Hatt, M. (2021). Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting. European Journal of Nuclear Medicine & Molecular Imaging, 48(11), 3444–3456. https://doi.org/10.1007/s00259-021-05244-z

Chicago

Iantsen, Andrei, Marta Ferreira, Francois Lucia, Vincent Jaouen, Caroline Reinhold, Pietro Bonaffini, Joanne Alfieri, et al. 2021. “Convolutional Neural Networks for PET Functional Volume Fully Automatic Segmentation: Development and Validation in a Multi-Center Setting.” European Journal of Nuclear Medicine & Molecular Imaging 48 (11): 3444–56. doi:10.1007/s00259-021-05244-z.