Cita APA (7a ed.)
Kawaji, K., Nakajo, M., Shinden, Y., Jinguji, M., Tani, A., Hirahara, D., . . . Yoshiura, T. (2023). Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer. Molecular Imaging & Biology, 25(5), 923-935.
Cita Chicago Style (17a ed.)
Kawaji, Kodai, Masatoyo Nakajo, Yoshiaki Shinden, Megumi Jinguji, Atsushi Tani, Daisuke Hirahara, Ikumi Kitazono, Takao Ohtsuka, y Takashi Yoshiura. "Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer." Molecular Imaging & Biology 25, no. 5 (2023): 923-935.
Cita MLA (9a ed.)
Kawaji, Kodai, et al. "Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer." Molecular Imaging & Biology, vol. 25, no. 5, 2023, pp. 923-935.
Precaución: Estas citas no son 100% exactas.