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Plos One
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July 26, 2019
Emphysema phenotypes and lung cancer risk
Jessica González, Claudia I Henschke, David F Yankelevitz, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"
Samuel G Armato, Rachael Y Roberts, Michael F McNitt-Gray, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
Anthony P Reeves, Alberto M Biancardi, Tatiyana V Apanasovich, et al.
Academic Radiology
|
December 10, 2008
Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth"
Samuel G Armato, Rachael Y Roberts, Masha Kocherginsky, et al.
NPJ Digital Medicine
|
November 5, 2024
Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction
Morteza Naghavi, Anthony P Reeves, Kyle Atlas, et al.
Academic Radiology
|
October 30, 2007
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans
Samuel G Armato, Michael F McNitt-Gray, Anthony P Reeves, et al.
European Journal of Cancer (Oxford, England : 1990)
|
March 1, 2025
Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer
Harriet L Lancaster, Anna N H Walstra, Kyle Myers, et al.
Statistical Methods in Medical Research
|
June 13, 2014
Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons
Nancy A Obuchowski, Anthony P Reeves, Erich P Huang, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation
Michael F McNitt-Gray, Samuel G Armato, Charles R Meyer, et al.
Academic Radiology
|
September 19, 2006
Evaluation of lung MDCT nodule annotation across radiologists and methods
Charles R Meyer, Timothy D Johnson, Geoffrey McLennan, et al.
Page
of 9
Search research articles
Search
Showing results (61-70 of 81) with videos related to
Sort By:
Page
of 9
Plos One
|
July 26, 2019
Emphysema phenotypes and lung cancer risk
Jessica González, Claudia I Henschke, David F Yankelevitz, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"
Samuel G Armato, Rachael Y Roberts, Michael F McNitt-Gray, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
Anthony P Reeves, Alberto M Biancardi, Tatiyana V Apanasovich, et al.
Academic Radiology
|
December 10, 2008
Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth"
Samuel G Armato, Rachael Y Roberts, Masha Kocherginsky, et al.
NPJ Digital Medicine
|
November 5, 2024
Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction
Morteza Naghavi, Anthony P Reeves, Kyle Atlas, et al.
Academic Radiology
|
October 30, 2007
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans
Samuel G Armato, Michael F McNitt-Gray, Anthony P Reeves, et al.
European Journal of Cancer (Oxford, England : 1990)
|
March 1, 2025
Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer
Harriet L Lancaster, Anna N H Walstra, Kyle Myers, et al.
Statistical Methods in Medical Research
|
June 13, 2014
Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons
Nancy A Obuchowski, Anthony P Reeves, Erich P Huang, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation
Michael F McNitt-Gray, Samuel G Armato, Charles R Meyer, et al.
Academic Radiology
|
September 19, 2006
Evaluation of lung MDCT nodule annotation across radiologists and methods
Charles R Meyer, Timothy D Johnson, Geoffrey McLennan, et al.
Page
of 9