The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

G. Armato, Samuel; McLennan, Geoffrey; Bidaut, Luc; F. McNitt‐Gray, Michael; R. Meyer, Charles; P. Reeves, Anthony; Zhao, Binsheng; R. Aberle, Denise; I. Henschke, Claudia; A. Hoffman, Eric; A. Kazerooni, Ella; MacMahon, Heber; J. R. van Beek, Edwin; Yankelevitz, David; M. Biancardi, Alberto; H. Bland, Peyton; S. Brown, Matthew; M. Engelmann, Roger; E. Laderach, Gary; Max, Daniel; C. Pais, Richard; P.‐Y. Qing, David; Y. Roberts, Rachael; R. Smith, Amanda; Starkey, Adam; Batra, Poonam; Caligiuri, Philip; Farooqi, Ali; W. Gladish, Gregory; Matilda Jude, C.; F. Munden, Reginald; Petkovska, Iva; E. Quint, Leslie; H. Schwartz, Lawrence; Sundaram, Baskaran; E. Dodd, Lori; Fenimore, Charles; Gur, David; Petrick, Nicholas; Freymann, John; Kirby, Justin; Hughes, Brian; Vande Casteele, Alessi; Gupte, Sangeeta; Sallam, Maha; D. Heath, Michael; H. Kuhn, Michael; Dharaiya, Ekta; Burns, Richard; S. Fryd, David; Salganicoff, Marcos; Anand, Vikram; Shreter, Uri; Vastagh, Stephen; Y. Croft, Barbara; P. Clarke, Laurence

doi:10.1118/1.3528204

Public

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

Shared by NobleBlocks on Jan 24, 2011 • 12:00 AM UTC

Authors:

Samuel G. Armato

Geoffrey McLennan

Luc Bidaut

Abstract

Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well‐characterized repository of computed tomography (CT) scans. The Lung Image Database Consortium (LIDC) and Image Database Resour...

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