APA (7th ed.) Citation

R, Z., JS, S., ZW, L., YY, L., XY, C., LJ, K., . . . QG, H. (2025). A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: A multicohort retrospective study. Quantitative imaging in medicine and surgery, 15(10), 8833. https://doi.org/10.21037/qims-2025-887

Chicago Style (17th ed.) Citation

R, Zhang, et al. "A Deep Learning-clinical Combined Model with SHapley Additive ExPlanations (SHAP) Method for Assessing the Tumor Spread Through Air Spaces in Lung Adenocarcinoma: A Multicohort Retrospective Study." Quantitative Imaging in Medicine and Surgery 15, no. 10 (2025): 8833. https://doi.org/10.21037/qims-2025-887.

MLA (9th ed.) Citation

R, Zhang, et al. "A Deep Learning-clinical Combined Model with SHapley Additive ExPlanations (SHAP) Method for Assessing the Tumor Spread Through Air Spaces in Lung Adenocarcinoma: A Multicohort Retrospective Study." Quantitative Imaging in Medicine and Surgery, vol. 15, no. 10, 2025, p. 8833, https://doi.org/10.21037/qims-2025-887.