APA (7th ed.) Citation

JL, W., LS, T., X, Z., Y, W., YJ, F., Y, Z., & JY, L. (2024). A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. Frontiers in immunology, 15, 1405146. https://doi.org/10.3389/fimmu.2024.1405146

Chicago Style (17th ed.) Citation

JL, Wang, Tang LS, Zhong X, Wang Y, Feng YJ, Zhang Y, and Liu JY. "A Machine Learning Radiomics Based on Enhanced Computed Tomography to Predict Neoadjuvant Immunotherapy for Resectable Esophageal Squamous Cell Carcinoma." Frontiers in Immunology 15 (2024): 1405146. https://doi.org/10.3389/fimmu.2024.1405146.

MLA (9th ed.) Citation

JL, Wang, et al. "A Machine Learning Radiomics Based on Enhanced Computed Tomography to Predict Neoadjuvant Immunotherapy for Resectable Esophageal Squamous Cell Carcinoma." Frontiers in Immunology, vol. 15, 2024, p. 1405146, https://doi.org/10.3389/fimmu.2024.1405146.