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Updated: Jun 21, 2026

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利用深度学习来发现可解释的细胞空间生物标志物,以基于肝细胞癌组织学的预后预测

Huijuan Hu1, Tianhua Tan2,3, Yerong Liu1

  • 1State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, PR China.

The journal of pathology. Clinical research
|June 13, 2025
PubMed
概括

研究人员开发了一种计算方法来分析肝细胞癌 (HCC) 瘤中的细胞空间组织. 这项分析从H&E染色图像中确定了新的空间生物标志物,这些生物标志物可以预测患者的生存率并提高预后准确性.

关键词:
德劳内网络是德劳内网络.细胞分类细胞分类细胞细分 细胞细分 细胞细分细胞多样性的细胞多样性.变化系数的变化系数

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