Li, Y., Ren, J., Yang, J., Cao, Y., Xia, C., Lee, E. Y. P., . . . Xue, H. (2022). MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer. European Radiology, 32(6), 3985-3996.
Copiado correctamente al portapapeles
Error al copiar al portapapeles
Cita Chicago Style (17a ed.)
Li, Yuan, et al. "MRI-derived Radiomics Analysis Improves the Noninvasive Pretreatment Identification of Multimodality Therapy Candidates with Early-stage Cervical Cancer."
European Radiology 32, no. 6 (2022): 3985-3996.
Copiado correctamente al portapapeles
Error al copiar al portapapeles
Cita MLA (9a ed.)
Li, Yuan, et al. "MRI-derived Radiomics Analysis Improves the Noninvasive Pretreatment Identification of Multimodality Therapy Candidates with Early-stage Cervical Cancer."
European Radiology, vol. 32, no. 6, 2022, pp. 3985-3996.
Copiado correctamente al portapapeles
Error al copiar al portapapeles
Precaución: Estas citas no son 100% exactas.