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[Predicting Invasive Non-mucinous Lung Adenocarcinoma IASLC Grading: 
A Nomogram Based on Dual-energy CT Imaging and Conventional Features].

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第一作者: Kaibo,Zhu
第一单位: Department of Radiology, Lanzhou University Second Hospital, the Second Clinical Medical School, Lanzhou University, Key 
Laboratory of Medical Imaging of Gansu Province, Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China.
作者: Kaibo,Zhu [1] ; Liangna,Deng [2] ; Yue,Hou [3] ; Lulu,Xiong [1] ; Caixia,Zhu [4] ; Haisheng,Wang [1] ; Junlin,Zhou [1]
作者单位: Department of Radiology, Lanzhou University Second Hospital, the Second Clinical Medical School, Lanzhou University, Key 
Laboratory of Medical Imaging of Gansu Province, Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China. [1] Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, China. [2] Department of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou 730030, China. [3] Gansu Medical Device Inspection and Testing Institute, Gansu Province Medical Device Industry Technology Center, 
Lanzhou 730300, China. [4]
DOI 10.3779/j.issn.1009-3419.2025.106.24
PMID 41158040
发布时间 2025-11-05
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Zhongguo fei ai za zhi = Chinese journal of lung cancer

Zhongguo fei ai za zhi = Chinese journal of lung cancer

2025年28卷8期

585-596页

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