...
首页> 外文期刊>Clinical cancer research: an official journal of the American Association for Cancer Research >Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin-Stained Sections
【24h】

Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin-Stained Sections

机译:使用常规血杂志和嗜酸盐染色的整合癌中机床学习中鉴定的免疫细胞群的预后意义

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose: Although high T-cell density is a well-established favorable prognostic factor in colorectal cancer, the prognostic significance of tumor-associated plasma cells, neutrophils, and eosinophils is less well-defined.
机译:目的:虽然高T细胞密度是结直肠癌中良好的良好良好预后因素,但肿瘤相关浆细胞,中性粒细胞和嗜酸性粒细胞的预后意义较小明确。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号