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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

   
@article{QIMS142426,
	author = {Rong Zhang and Jing-Song Sun and Zi-Wei Liu and Yun-Ying Lin and Xiao-Yan Cai and Li-Jun Kang and Bao-Liang Guo and Ya-Xuan Song and Chen-Zhengren Bao and Kui Chen and Yi Sun and Yi-Fan Chen and Zhi-Ping Cai and Han Xie and Hai-Xiong Chen and Shao-Min Yang and Qiu-Gen Hu},
	title = {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},
	journal = {Quantitative Imaging in Medicine and Surgery},
	volume = {15},
	number = {10},
	year = {2025},
	keywords = {},
	abstract = {},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/142426}
}