基于超声瘤内及瘤周影像组学可解释性机器学习模型预测乳腺癌PD-L1表达状态的价值
陈桥梁, 覃心妍, 杜海雯, 檀双秀
Value of an interpretable machine learning model based on intratumoral and peritumoral ultrasound radiomics for predicting PD-L1 expression status in breast cancer
Chen Qiaoliang, Qin Xinyan, Du Haiwen, Tan Shuangxiu
国际肿瘤学杂志
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2026, (10): 584
-590
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DOI: 10.3760/cma.j.cn371439-20260119-00093
