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Wenting Tu

Showing results (11-20 of 32) with videos related to

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Diagnostic and Interventional Radiology (Ankara, Turkey)|September 19, 2023
Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter studyYun Wang, Deng Lyu, Di Zhang, et al.
European Radiology|October 17, 2018
The "solid" component within subsolid nodules: imaging definition, display, and correlation with invasiveness of lung adenocarcinoma, a comparison of CT histograms and subjective evaluationWenTing Tu, ZhaoBin Li, Yun Wang, et al.
Translational Cancer Research|April 14, 2025
Prediction of visceral pleural invasion of clinical stage IA lung adenocarcinoma based on computed tomography featuresDeng Lyu, Yun Wang, Wenting Tu, et al.
Journal of Imaging Informatics in Medicine|February 12, 2024
CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung CancerYun Wang, Deng Lyu, Lei Hu, et al.
Lung Cancer (Amsterdam, Netherlands)|May 18, 2019
Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphologyWenting Tu, Guangyuan Sun, Li Fan, et al.
Ecotoxicology and Environmental Safety|March 6, 2026
Acute cadmium exposure induced intestinal barrier damage in the hybrid grouper (Epinephelus fuscoguttatus♂ × Epinephelus lanceolatus♀)Hongming Wang, Wenting Tu, Fengwu Jia, et al.
Journal of Cardiothoracic Surgery|June 1, 2024
Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinomaYun Wang, Deng Lyu, Su Hu, et al.
European Journal of Radiology Open|July 11, 2024
A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patientsTaoHu Zhou, Yu Guan, XiaoQing Lin, et al.
Journal of Thoracic Imaging|July 9, 2023
Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed TomographyWenjun Huang, Hanxiao Zhang, Yanming Ge, et al.
Radiology. Artificial Intelligence|May 3, 2021
Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist PerformanceKai Liu, Qiong Li, Jiechao Ma, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Diagnostic and Interventional Radiology (Ankara, Turkey)|September 19, 2023
Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter studyYun Wang, Deng Lyu, Di Zhang, et al.
European Radiology|October 17, 2018
The "solid" component within subsolid nodules: imaging definition, display, and correlation with invasiveness of lung adenocarcinoma, a comparison of CT histograms and subjective evaluationWenTing Tu, ZhaoBin Li, Yun Wang, et al.
Translational Cancer Research|April 14, 2025
Prediction of visceral pleural invasion of clinical stage IA lung adenocarcinoma based on computed tomography featuresDeng Lyu, Yun Wang, Wenting Tu, et al.
Journal of Imaging Informatics in Medicine|February 12, 2024
CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung CancerYun Wang, Deng Lyu, Lei Hu, et al.
Lung Cancer (Amsterdam, Netherlands)|May 18, 2019
Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphologyWenting Tu, Guangyuan Sun, Li Fan, et al.
Ecotoxicology and Environmental Safety|March 6, 2026
Acute cadmium exposure induced intestinal barrier damage in the hybrid grouper (Epinephelus fuscoguttatus♂ × Epinephelus lanceolatus♀)Hongming Wang, Wenting Tu, Fengwu Jia, et al.
Journal of Cardiothoracic Surgery|June 1, 2024
Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinomaYun Wang, Deng Lyu, Su Hu, et al.
European Journal of Radiology Open|July 11, 2024
A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patientsTaoHu Zhou, Yu Guan, XiaoQing Lin, et al.
Journal of Thoracic Imaging|July 9, 2023
Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed TomographyWenjun Huang, Hanxiao Zhang, Yanming Ge, et al.
Radiology. Artificial Intelligence|May 3, 2021
Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist PerformanceKai Liu, Qiong Li, Jiechao Ma, et al.
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