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

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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Veröffentlicht in:Medical physics (Lancaster) Jg. 38; H. 2; S. 915 - 931
Hauptverfasser: Armato, Samuel G., McLennan, Geoffrey, Bidaut, Luc, McNitt-Gray, Michael F., Meyer, Charles R., Reeves, Anthony P., Zhao, Binsheng, Aberle, Denise R., Henschke, Claudia I., Hoffman, Eric A., Kazerooni, Ella A., MacMahon, Heber, van Beek, Edwin J. R., Yankelevitz, David, Biancardi, Alberto M., Bland, Peyton H., Brown, Matthew S., Engelmann, Roger M., Laderach, Gary E., Max, Daniel, Pais, Richard C., Qing, David P.-Y., Roberts, Rachael Y., Smith, Amanda R., Starkey, Adam, Batra, Poonam, Caligiuri, Philip, Farooqi, Ali, Gladish, Gregory W., Jude, C. Matilda, Munden, Reginald F., Petkovska, Iva, Quint, Leslie E., Schwartz, Lawrence H., Sundaram, Baskaran, Dodd, Lori E., Fenimore, Charles, Gur, David, Petrick, Nicholas, Freymann, John, Kirby, Justin, Hughes, Brian, Vande Casteele, Alessi, Gupte, Sangeeta, Sallam, Maha, Heath, Michael D., Kuhn, Michael H., Dharaiya, Ekta, Burns, Richard, Fryd, David S., Salganicoff, Marcos, Anand, Vikram, Shreter, Uri, Vastagh, Stephen, Croft, Barbara Y., Clarke, Laurence P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States American Association of Physicists in Medicine 01.02.2011
U.S. Government
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ISSN:0094-2405, 2473-4209, 0094-2405
Online-Zugang:Volltext
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