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Wenting Tu

Showing results (21-30 of 32) with videos related to

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Journal of Thoracic Disease|September 13, 2024
Intratumoral and peritumoral radiomics combined with computed tomography features for predicting the invasiveness of lung adenocarcinoma presenting as a subpleural ground-glass nodule with a consolidation-to-tumor ratio ≤50Yun Wang, Deng Lyu, Dan Yu, et al.
Frontiers in Oncology|June 24, 2022
Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass NodulesXiang Wang, Man Gao, Jicai Xie, et al.
Frontiers in Oncology|September 4, 2023
Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodulesWenjun Huang, Heng Deng, Zhaobin Li, et al.
Journal of Thoracic Disease|April 12, 2021
Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?Xiang Wang, Kaili Chen, Wei Wang, et al.
International Journal of Chronic Obstructive Pulmonary Disease|October 11, 2022
Re-Defining High Risk COPD with Parameter Response Mapping Based on Machine Learning ModelsYu Pu, Xiuxiu Zhou, Di Zhang, et al.
International Journal of Chronic Obstructive Pulmonary Disease|June 19, 2023
Nomograms Using CT Morphological Features and Clinical Characteristics to Identify COPD in Patients with Lung Cancer: A Multicenter StudyWenting Tu, Taohu Zhou, Xiuxiu Zhou, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|August 10, 2023
Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom studyXiuxiu Zhou, Hanxiao Zhang, Xiaoxing Jin, et al.
Academic Radiology|April 16, 2023
CT-Based Radiomic Nomogram for the Prediction of Chronic Obstructive Pulmonary Disease in Patients with Lung cancerTaoHu Zhou, WenTing Tu, Peng Dong, et al.
International Journal of Chronic Obstructive Pulmonary Disease|December 16, 2024
A CT-Based Lung Radiomics Nomogram for Classifying the Severity of Chronic Obstructive Pulmonary DiseaseTaohu Zhou, Xiuxiu Zhou, Jiong Ni, et al.
International Journal of Chronic Obstructive Pulmonary Disease|June 3, 2024
Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary DiseaseDi Zhang, Yu Guan, Xiuxiu Zhou, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Journal of Thoracic Disease|September 13, 2024
Intratumoral and peritumoral radiomics combined with computed tomography features for predicting the invasiveness of lung adenocarcinoma presenting as a subpleural ground-glass nodule with a consolidation-to-tumor ratio ≤50Yun Wang, Deng Lyu, Dan Yu, et al.
Frontiers in Oncology|June 24, 2022
Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass NodulesXiang Wang, Man Gao, Jicai Xie, et al.
Frontiers in Oncology|September 4, 2023
Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodulesWenjun Huang, Heng Deng, Zhaobin Li, et al.
Journal of Thoracic Disease|April 12, 2021
Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?Xiang Wang, Kaili Chen, Wei Wang, et al.
International Journal of Chronic Obstructive Pulmonary Disease|October 11, 2022
Re-Defining High Risk COPD with Parameter Response Mapping Based on Machine Learning ModelsYu Pu, Xiuxiu Zhou, Di Zhang, et al.
International Journal of Chronic Obstructive Pulmonary Disease|June 19, 2023
Nomograms Using CT Morphological Features and Clinical Characteristics to Identify COPD in Patients with Lung Cancer: A Multicenter StudyWenting Tu, Taohu Zhou, Xiuxiu Zhou, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|August 10, 2023
Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom studyXiuxiu Zhou, Hanxiao Zhang, Xiaoxing Jin, et al.
Academic Radiology|April 16, 2023
CT-Based Radiomic Nomogram for the Prediction of Chronic Obstructive Pulmonary Disease in Patients with Lung cancerTaoHu Zhou, WenTing Tu, Peng Dong, et al.
International Journal of Chronic Obstructive Pulmonary Disease|December 16, 2024
A CT-Based Lung Radiomics Nomogram for Classifying the Severity of Chronic Obstructive Pulmonary DiseaseTaohu Zhou, Xiuxiu Zhou, Jiong Ni, et al.
International Journal of Chronic Obstructive Pulmonary Disease|June 3, 2024
Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary DiseaseDi Zhang, Yu Guan, Xiuxiu Zhou, et al.
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