Cita APA (7a ed.)
Eun, N. L., Kang, D., Son, E. J., Youk, J. H., Kim, J., & Gweon, H. M. (2021). Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy. European Radiology, 31(9), 6916-6929.
Cita Chicago Style (17a ed.)
Eun, Na Lae, Daesung Kang, Eun Ju Son, Ji Hyun Youk, Jeong-Ah Kim, y Hye Mi Gweon. "Texture Analysis Using Machine Learning–based 3-T Magnetic Resonance Imaging for Predicting Recurrence in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy." European Radiology 31, no. 9 (2021): 6916-6929.
Cita MLA (9a ed.)
Eun, Na Lae, et al. "Texture Analysis Using Machine Learning–based 3-T Magnetic Resonance Imaging for Predicting Recurrence in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy." European Radiology, vol. 31, no. 9, 2021, pp. 6916-6929.
Precaución: Estas citas no son 100% exactas.