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人工智能推动肺癌微环境组成的评估

Enzo Gallo1, Davide Guardiani1, Martina Betti2,3

  • 1Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Journal of pathology informatics
|October 29, 2024
PubMed
概括

肺癌 (LC) 病理学中的人工智能 (AI) 降低了评估瘤透淋巴细胞 (TIL) 的可变性. 人工智能引导的评估提高了病理学家之间的一致性,提高了免疫治疗反应预测的可重现性.

关键词:
计算机辅助工具 计算机辅助工具数字病理学数字病理学肺癌是一种肺癌.机器学习 机器学习在NSCLCLC中,我们可以看到.病理学图像图像 病理学图像这就是QuPath QuPath.透到瘤的淋巴细胞整个幻灯片图像的图像.

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