The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

  title={The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.},
  author={Samuel G. Armato and Geoffrey McLennan and Luc Bidaut and Michael F. McNitt-Gray and Charles R. Meyer and Anthony P. Reeves and Binsheng Zhao and Denise R. Aberle and Claudia I. Henschke and Eric A. Hoffman and Ella A. Kazerooni and Heber MacMahon and Edwin J R Van Beeke and David Y. Yankelevitz and Alberto M. Biancardi and Peyton H. Bland and Matthew S. Brown and R. M. Engelmann and G. E. Laderach and Daniel Max and Richard C. Pais and D. P. Qing and Rachael Y. Roberts and Amanda R Smith and Adam Starkey and Poonam Batrah and Philip Caligiuri and Ali O. Farooqi and Gregory Gladish and Cecilia Matilda Jude and Reginald F. Munden and Iva Petkovska and Leslie E. Quint and Lawrence H. Schwartz and Baskaran Sundaram and Lori E. Dodd and Charles Fenimore and David Gur and Nicholas A. Petrick and J. Freymann and Justin Kirby and Brian J. Hughes and Alessi Vande Casteele and Sangeeta Gupte and Maha Sallamm and Michael D. Heath and M. H. Kuhn and Ekta Dharaiya and Richard O. Burns and David S Fryd and Marcos Salganicoff and Vikram Anand and Uri Shreter and Stephen Vastagh and Barbara Y. Croft},
  journal={Medical physics},
  volume={38 2},
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 Resource Initiative (IDRI) completed such a database, establishing a publicly available reference for the medical imaging research community. Initiated by the National Cancer Institute (NCI), further… CONTINUE READING
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