Impact of dose reduction and iterative reconstruction algorithm on the detectability of pulmonary nodules by artificial intelligence
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Title
Impact of dose reduction and iterative reconstruction algorithm on the detectability of pulmonary nodules by artificial intelligence
Authors
Keywords
Artificial intelligence, Dose reduction, Iterative reconstruction algorithm, Lung nodule, Nodule detection
Journal
Diagnostic and Interventional Imaging
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2022-01-04
DOI
10.1016/j.diii.2021.12.002
References
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Related references
Note: Only part of the references are listed.- Radiomics in the evaluation of lung nodules: Intrapatient concordance between full-dose and ultra-low-dose chest computed tomography
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- Intergroupe francophone de cancérologie thoracique, Société de pneumologie de langue française, and Société d’imagerie thoracique statement paper on lung cancer screening
- (2021) Sébastien Couraud et al. Diagnostic and Interventional Imaging
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- (2020) Scott Mayer McKinney et al. NATURE
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- (2020) Xiongwei Wu et al. NEUROCOMPUTING
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- (2020) Harry J. de Koning et al. NEW ENGLAND JOURNAL OF MEDICINE
- Interobserver agreement issues in radiology
- (2020) M. Benchoufi et al. Diagnostic and Interventional Imaging
- Artificial intelligence solution to classify pulmonary nodules on CT
- (2020) D. Blanc et al. Diagnostic and Interventional Imaging
- Diagnostic Performance of Different Simulated Low-Dose Levels in Patients with Suspected Cervical Abscess Using a Third-Generation Dual-Source CT Scanner
- (2020) Moritz T. Winkelmann et al. Diagnostics
- Cancer statistics, 2019
- (2019) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Low and ultra-low dose radiation in CT: Opportunities and limitations
- (2019) J.P. Beregi et al. Diagnostic and Interventional Imaging
- Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings
- (2019) Mathias Meyer et al. RADIOLOGY
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Dose estimation of ultra-low-dose chest CT to different sized adult patients
- (2018) Tony M. Svahn et al. EUROPEAN RADIOLOGY
- Emphysema quantification and lung volumetry in chest X-ray equivalent ultralow dose CT – Intra-individual comparison with standard dose CT
- (2017) Michael Messerli et al. EUROPEAN JOURNAL OF RADIOLOGY
- Evaluation of pulmonary nodules and infection on chest CT with radiation dose equivalent to chest radiography: Prospective intra-individual comparison study to standard dose CT
- (2016) K. Martini et al. EUROPEAN JOURNAL OF RADIOLOGY
- Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13 mSv
- (2016) Michael Messerli et al. EUROPEAN JOURNAL OF RADIOLOGY
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- (2012) Stephan Baumueller et al. EUROPEAN RADIOLOGY
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- A Prospective Evaluation of Dose Reduction and Image Quality in Chest CT Using Adaptive Statistical Iterative Reconstruction
- (2010) Jonathon Leipsic et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Diffuse Lung Disease: CT of the Chest with Adaptive Statistical Iterative Reconstruction Technique
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- Dose Reduction in Helical CT: Dynamically Adjustable z-Axis X-Ray Beam Collimation
- (2009) Jodie A. Christner et al. AMERICAN JOURNAL OF ROENTGENOLOGY
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