SH, X., H, X., H, Z., JX, X., SJ, H., WY, L., . . . MQ, K. (2025). Application of machine learning based on habitat imaging and vision transformer to predict treatment response of locally advanced esophageal squamous cell carcinoma following neoadjuvant chemoimmunotherapy: A multi-center study. Frontiers in immunology, 16, 1603249. https://doi.org/10.3389/fimmu.2025.1603249
Chicago Style (17th ed.) CitationSH, Xie, et al. "Application of Machine Learning Based on Habitat Imaging and Vision Transformer to Predict Treatment Response of Locally Advanced Esophageal Squamous Cell Carcinoma Following Neoadjuvant Chemoimmunotherapy: A Multi-center Study." Frontiers in Immunology 16 (2025): 1603249. https://doi.org/10.3389/fimmu.2025.1603249.
MLA (9th ed.) CitationSH, Xie, et al. "Application of Machine Learning Based on Habitat Imaging and Vision Transformer to Predict Treatment Response of Locally Advanced Esophageal Squamous Cell Carcinoma Following Neoadjuvant Chemoimmunotherapy: A Multi-center Study." Frontiers in Immunology, vol. 16, 2025, p. 1603249, https://doi.org/10.3389/fimmu.2025.1603249.
