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Feasibility of Sub-milliSievert Low-dose Computed Tomography with Deep Learning Image Reconstruction in Evaluating Pulmonary Subsolid Nodules: A Prospective Intra-individual Comparison Study.
Zhu H, Huang Z, Chen Q, Ma W, Yu J, Wang S, Tao G, Xing J, Jiang H, Sun X, Liu J, Yu H, Zhu L. Zhu H, et al. Among authors: yu h, yu j. Acad Radiol. 2024 Dec 13:S1076-6332(24)00886-9. doi: 10.1016/j.acra.2024.11.042. Online ahead of print. Acad Radiol. 2024. PMID: 39674695
3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images.
Lv Y, Wei Y, Xu K, Zhang X, Hua R, Huang J, Li M, Tang C, Yang L, Liu B, Yuan Y, Li S, Gao Y, Zhang X, Wu Y, Han Y, Shang Z, Yu H, Zhan Y, Shi F, Ye B. Lv Y, et al. Among authors: yu h. Front Oncol. 2022 Oct 21;12:995870. doi: 10.3389/fonc.2022.995870. eCollection 2022. Front Oncol. 2022. PMID: 36338695 Free PMC article.
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