Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment
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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. 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
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. 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 StyleMoreau, Noémie, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Aislinn Brennan, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Nicolas Normand, and Mathieu Rubeaux. 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