基于机器学习的肿瘤免疫浸润评估作为 atezolizumab 联合 bevacizumab 治疗的肝细胞癌患者结局预测因素的初步验证
Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellu
我们提出一种基于机器学习的算法，用于识别与患者总生存期呈正相关的促炎性肝细胞癌肿瘤微环境。
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