The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans
SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - Wiley Online Library
Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - ui.adsabs.harvard.edu
Purpose: The development of computer‑aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans
SG Armato III, G McLennan, EA Kazerooni… - 2011 - repository.lincoln.ac.uk
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
[HTML][HTML] The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT …
SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - ncbi.nlm.nih.gov
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
SG Armato 3rd, G McLennan, L Bidaut… - Medical …, 2011 - europepmc.org
Purpose The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans
SG Armato, G McLennan, L Bidaut… - Medical …, 2011 - mdanderson.elsevierpure.com
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
SG Armato, G McLennan, L Bidaut… - Medical physics …, 2011 - iro.uiowa.edu
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
SG Armato III, G McLennan, L Bidaut, MF McNitt-Gray… - 2011 - deepblue.lib.umich.edu
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
[PDF][PDF] The Lung Image Database Consortium „LIDC… and Image Database Resource Initiative „IDRI…: A Completed Reference Database of Lung Nodules on CT …
G McLennan, L Bidautb, MF McNitt-Gray, CR Meyer… - Medical …, 2011 - academia.edu
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans
SG Armato, H MacMahon, RM Engelmann, RY Roberts… - Medical Physics, 2011 - elibrary.ru
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …