| 标题 |
value of the deep learning automated quantification of tumor-stroma ratio in predicting efficacy and prognosis of neoadjuvant therapy for breast cancer based on residual cancer burden grading 基于残留癌症负担分级的肿瘤-间质比深度学习自动量化在预测乳腺癌新辅助治疗疗效和预后中的价值
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| 网址 | |
| DOI |
10.3760/cma.j.cn112151-20240712-00455
doi
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| 求助人 | |
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