Cita APA (7a ed.)
Nakajo, M., Jinguji, M., Tani, A., Yano, E., Hoo, C. K., Hirahara, D., . . . Yoshiura, T. (2022). Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients. Abdominal Radiology, 47(2), 838-848.
Cita Chicago Style (17a ed.)
Nakajo, Masatoyo, Megumi Jinguji, Atsushi Tani, Erina Yano, Chin Khang Hoo, Daisuke Hirahara, Shinichi Togami, Hiroaki Kobayashi, y Takashi Yoshiura. "Machine Learning Based Evaluation of Clinical and Pretreatment 18F-FDG-PET/CT Radiomic Features to Predict Prognosis of Cervical Cancer Patients." Abdominal Radiology 47, no. 2 (2022): 838-848.
Cita MLA (9a ed.)
Nakajo, Masatoyo, et al. "Machine Learning Based Evaluation of Clinical and Pretreatment 18F-FDG-PET/CT Radiomic Features to Predict Prognosis of Cervical Cancer Patients." Abdominal Radiology, vol. 47, no. 2, 2022, pp. 838-848.
Precaución: Estas citas no son 100% exactas.