Cita APA (7a ed.)
Zhang, X., Wu, H., Liang, X., Chen, J., Li, J., Zhang, S., & Liu, Z. (2024). Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma. BMC Women's Health, 24(1), 1-13.
Cita Chicago Style (17a ed.)
Zhang, Xue-Fang, Hong-yuan Wu, Xu-Wei Liang, Jia-Luo Chen, Jianpeng Li, Shihao Zhang, y Zhigang Liu. "Deep-learning-based Radiomics of Intratumoral and Peritumoral MRI Images to Predict the Pathological Features of Adjuvant Radiotherapy in Early-stage Cervical Squamous Cell Carcinoma." BMC Women's Health 24, no. 1 (2024): 1-13.
Cita MLA (9a ed.)
Zhang, Xue-Fang, et al. "Deep-learning-based Radiomics of Intratumoral and Peritumoral MRI Images to Predict the Pathological Features of Adjuvant Radiotherapy in Early-stage Cervical Squamous Cell Carcinoma." BMC Women's Health, vol. 24, no. 1, 2024, pp. 1-13.
Precaución: Estas citas no son 100% exactas.