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Mart van Rijthoven1, Simon Obahor2, Fabio Pagliarulo2

  • 1Pathology Department, Radboud University Medical Center, Nijmegen, Netherlands. mart.vanrijthoven@radboudumc.nl.

Communications medicine
|January 5, 2024
PubMed
概括

使用HookNet-TLS深度学习对三级淋巴体结构 (TLS) 的自动定量显示了癌症病理学的人类水平性能. 该工具可以在常规的H&E幻灯片中进行客观的TLS评估,以改进生物标志物开发.