Clinical value of deep learning image reconstruction on the diagnosis of pulmonary nodule for ultra-low-dose chest CT imaging-Reference-Cited by-同舟云学术

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Clinical value of deep learning image reconstruction on the diagnosis of pulmonary nodule for ultra-low-dose chest CT imaging

Published:2024-08 Issue:8 Volume:79 Page:628-636
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Zheng Z.,Ai Z.,Liang Y.,Li Y.,Wu Z.,Wu M.,Han Q.,Ma K.,Xiang Z.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference31 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J Clin,2021

2. Lung cancer screening with low-dose CT: a meta-analysis;Hoffman;J Gen Intern Med,2020

3. Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study;Greffier;Eur Radiol,2020

4. Use of a hybrid iterative reconstruction technique to reduce image noise and improve image quality in obese patients undergoing computed tomographic pulmonary angiography;Kligerman;J Thorac Imaging,2013

5. Ultra-low-dose CT reconstructed with ASiR-V using SmartmA for pulmonary nodule detection and Lung-RADS classifications compared with low-dose CT;Ye;Clin Radiol,2021

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