APA (7th ed.) Citation

Z, Y., Y, M., X, P., Z, W., Y, X., B, X., & M, X. (2026). Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: A multicenter study. Frontiers in oncology, 16, 1844559. https://doi.org/10.3389/fonc.2026.1844559

Chicago Style (17th ed.) Citation

Z, Yuan, Mei Y, Peng X, Wei Z, Xv Y, Xiao B, and Xiao M. "Radiomics-based Interpretable Machine Learning Model from Multiphasic CT Imaging for Predicting Pathological Grade in Upper Tract Urothelial Carcinoma: A Multicenter Study." Frontiers in Oncology 16 (2026): 1844559. https://doi.org/10.3389/fonc.2026.1844559.

MLA (9th ed.) Citation

Z, Yuan, et al. "Radiomics-based Interpretable Machine Learning Model from Multiphasic CT Imaging for Predicting Pathological Grade in Upper Tract Urothelial Carcinoma: A Multicenter Study." Frontiers in Oncology, vol. 16, 2026, p. 1844559, https://doi.org/10.3389/fonc.2026.1844559.