转录指导的全幻灯片图像分类用于分子亚型识别的分类

Weiwen Wang1, Xiwen Zhang2, Yuanyan Xiong3

  • 1Department of Mathematics, College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China.

PubMed
概括

这项研究介绍了TEMI,这是一个计算病理学框架,使用全幻灯片图像 (WSIs) 和转录组数据来分类癌症分子亚型. 泰米有效地整合了多式联络数据,改善了癌症亚型的分类,并揭示了组织学中的潜在分子信号.

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