张志勇教授团队于Cancer Imaging杂志发表论文Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model
本研究发现影像组学-深度学习融合模型在从CT扫描预测OLNM方面显示出良好的泛化能力,可能有助于跨多个中心对SPILAC患者进行个性化治疗。
Tian W, Yan Q, Huang X, et al. Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model. Cancer Imaging. 2024;24(1):8. Published 2024 Jan 12. doi:10.1186/s40644-024-00654-2