FDG-PET/CT for lung cancer: phantom quality-control for respiratory motion compensation protocols, AI-algorithm for tumor segmentation and delta-radiomic model for recurrence prediction

MLA

Carles, M., et al. “FDG-PET/CT for Lung Cancer: Phantom Quality-Control for Respiratory Motion Compensation Protocols, AI-Algorithm for Tumor Segmentation and Delta-Radiomic Model for Recurrence Prediction.” Nuklearmedizin. Nuclear Medicine, vol. 62, no. 2, Apr. 2023. EBSCOhost, https://doi.org/10.1055/s-0043-1766208.

APA

Carles, M., Fechter, T., Radicioni, G., Martínez-Movilla, A., Gkika, E., Baltas, D., Mix, M., & Martí-Bonmatí, L. (2023). FDG-PET/CT for lung cancer: phantom quality-control for respiratory motion compensation protocols, AI-algorithm for tumor segmentation and delta-radiomic model for recurrence prediction. Nuklearmedizin. Nuclear Medicine, 62(2). https://doi.org/10.1055/s-0043-1766208

Chicago

Carles, M., T. Fechter, G. Radicioni, A. Martínez-Movilla, E. Gkika, D. Baltas, M. Mix, and L. Martí-Bonmatí. 2023. “FDG-PET/CT for Lung Cancer: Phantom Quality-Control for Respiratory Motion Compensation Protocols, AI-Algorithm for Tumor Segmentation and Delta-Radiomic Model for Recurrence Prediction.” Nuklearmedizin. Nuclear Medicine 62 (2). doi:10.1055/s-0043-1766208.