Using high-repeatable radiomic features improves the cross-institutional generalization of prognostic model in esophageal squamous cell cancer receiving definitive chemoradiotherapy.

MLA

Gong, Jie, et al. “Using High-Repeatable Radiomic Features Improves the Cross-Institutional Generalization of Prognostic Model in Esophageal Squamous Cell Cancer Receiving Definitive Chemoradiotherapy.” Insights into Imaging, vol. 15, no. 1, Oct. 2024, pp. 1–11. EBSCOhost, https://doi.org/10.1186/s13244-024-01816-3.

APA

Gong, J., Wang, Q., Li, J., Yang, Z., Zhang, J., Teng, X., Sun, H., Cai, J., & Zhao, L. (2024). Using high-repeatable radiomic features improves the cross-institutional generalization of prognostic model in esophageal squamous cell cancer receiving definitive chemoradiotherapy. Insights into Imaging, 15(1), 1–11. https://doi.org/10.1186/s13244-024-01816-3

Chicago

Gong, Jie, Qifeng Wang, Jie Li, Zhi Yang, Jiang Zhang, Xinzhi Teng, Hongfei Sun, Jing Cai, and Lina Zhao. 2024. “Using High-Repeatable Radiomic Features Improves the Cross-Institutional Generalization of Prognostic Model in Esophageal Squamous Cell Cancer Receiving Definitive Chemoradiotherapy.” Insights into Imaging 15 (1): 1–11. doi:10.1186/s13244-024-01816-3.