相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Effects of simulated dose variation on contrast-enhanced CT-based radiomic analysis for Non-Small Cell Lung Cancer
Tobias Hepp et al.
EUROPEAN JOURNAL OF RADIOLOGY (2020)
Optimization of acquisition parameters for reduced-dose thoracic CT: A phantom study
K. Martini et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2020)
Interobserver agreement issues in radiology
M. Benchoufi et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2020)
A primer for understanding radiology articles about machine learning and deep learning
Takeshi Nakaura et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2020)
Low and ultra-low dose radiation in CT: Opportunities and limitations
J. P. Beregi et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)
Wide-volume versus helical acquisition in unenhanced chest CT: prospective intra-patient comparison of diagnostic accuracy and radiation dose in an ultra-low-dose setting
Elsa Meyer et al.
EUROPEAN RADIOLOGY (2019)
Ovarian cancer: An update on imaging in the era of radiomics
S. Nougaret et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)
Ultra-low-dose unenhanced chest CT: Prospective comparison of high kV/low mA versus low kV/high mA protocols
C. Ludes et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)
Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique
Yoshiharu Ohno et al.
EUROPEAN JOURNAL OF RADIOLOGY (2018)
Pulmonary Nodule Management in Lung Cancer Screening A Pictorial Review of Lung-RADS Version 1.0
Myrna C. B. Godoy et al.
RADIOLOGIC CLINICS OF NORTH AMERICA (2018)
Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters
Roberto Berenguer et al.
RADIOLOGY (2018)
Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study
Martin C. Tammemagi et al.
LANCET ONCOLOGY (2017)
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
Heber MacMahon et al.
RADIOLOGY (2017)
Radiomics of pulmonary nodules and lung cancer
Ryan Wilson et al.
TRANSLATIONAL LUNG CANCER RESEARCH (2017)
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
Michael Messerli et al.
EUROPEAN JOURNAL OF RADIOLOGY (2016)
Diagnostic Performance of Ultra-Low-Dose Computed Tomography for Detecting Asbestos-Related Pleuropulmonary Diseases: Prospective Study in a Screening Setting
Marysa Schaal et al.
PLOS ONE (2016)
Ultra-low dose chest CT: The end of chest radiograph?
Claire Ludes et al.
PRESSE MEDICALE (2016)
Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability
Hyungjin Kim et al.
PLOS ONE (2016)
Measuring Computed Tomography Scanner Variability of Radiomics Features
Dennis Mackin et al.
INVESTIGATIVE RADIOLOGY (2015)
Pulmonary Nodule Characterization, Including Computer Analysis and Quantitative Features
Brian J. Bartholmai et al.
JOURNAL OF THORACIC IMAGING (2015)
Reproducibility and Prognosis of Quantitative Features Extracted from CT Images
Yoganand Balagurunathan et al.
TRANSLATIONAL ONCOLOGY (2014)
Benefits and Harms of CT Screening for Lung Cancer A Systematic Review
Peter B. Bach et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2012)
The Lung Image Database Consortium, (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Samuel G. Armato et al.
MEDICAL PHYSICS (2011)
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
Denise R. Aberle et al.
NEW ENGLAND JOURNAL OF MEDICINE (2011)
Current concepts - Computed tomography - An increasing source of radiation exposure
David J. Brenner et al.
NEW ENGLAND JOURNAL OF MEDICINE (2007)
分享论文
