Moreau, N.; Rousseau, C.; Fourcade, C.; Santini, G.; Brennan, A.; Ferrer, L.; Lacombe, M.; Guillerminet, C.; Colombié, M.; Jézéquel, P.;
et al. Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment. Cancers 2022, 14, 101.
https://doi.org/10.3390/cancers14010101
AMA Style
Moreau N, Rousseau C, Fourcade C, Santini G, Brennan A, Ferrer L, Lacombe M, Guillerminet C, Colombié M, Jézéquel P,
et al. Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment. Cancers. 2022; 14(1):101.
https://doi.org/10.3390/cancers14010101
Chicago/Turabian Style
Moreau, Noémie, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Aislinn Brennan, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Pascal Jézéquel,
and et al. 2022. "Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment" Cancers 14, no. 1: 101.
https://doi.org/10.3390/cancers14010101
APA Style
Moreau, N., Rousseau, C., Fourcade, C., Santini, G., Brennan, A., Ferrer, L., Lacombe, M., Guillerminet, C., Colombié, M., Jézéquel, P., Campone, M., Normand, N., & Rubeaux, M.
(2022). Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment. Cancers, 14(1), 101.
https://doi.org/10.3390/cancers14010101