Prognostic Significance of Deep Learning-Based Tumor-Infiltrating Lymphocyte Assessment for Triple-Negative Breast Cancer
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The quantified manual and auto sTILs scores for the TNBC patiens from TCGA-BRCA cohort presented in the article "Prognostic Significance of Deep Learning-Based Tumor-Infiltrating Lymphocyte Assessment for Triple-Negative Breast Cancer" which is currently under review.
本数据集包含来自TCGA-BRCA队列的三阴性乳腺癌(Triple-Negative Breast Cancer, TNBC)患者的手动与自动量化sTILs(stromal Tumor-Infiltrating Lymphocytes)评分,相关内容刊载于目前处于审稿状态的《基于深度学习的三阴性乳腺癌肿瘤浸润淋巴细胞评估的预后价值》一文。
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Zenodo创建时间:
2020-10-29



