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CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A Multicenter, Large-Scale Study.
Zuo Z, Zhang G, Chen J, Xue Q, Lin S, Zeng Y, Ge W, Qi W, Yang L, Liu H, Fan X, Zhang S. Zuo Z, et al. Among authors: liu h. Technol Cancer Res Treat. 2024 Jan-Dec;23:15330338241308307. doi: 10.1177/15330338241308307. Technol Cancer Res Treat. 2024. PMID: 39703067 Free PMC article.
Enhancing the prediction of the invasiveness of pulmonary adenocarcinomas presenting as pure ground-glass nodules: Integrating intratumor heterogeneity score with clinical-radiological features via machine learning in a multicenter study.
Zheng H, Chen W, Qi W, Liu H, Zuo Z. Zheng H, et al. Among authors: liu h. Digit Health. 2024 Oct 7;10:20552076241289181. doi: 10.1177/20552076241289181. eCollection 2024 Jan-Dec. Digit Health. 2024. PMID: 39381817 Free PMC article.
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