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The Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic CT scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis.

For more information about the LIDC program please visit: The following paper published in Medical Physics is effectively the authoritative user's manual for the database:

Armato SG III, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, van Beek EJR, Yankelevitz D, et al.:  The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics, 38: 915--931, 2011.  

Important note: There was a pilot release of 399 cases of the LIDC CT data via the NCI CBIIT installation of NBIA. This is the complete data set of all 1,010 patients which includes all pilot CT cases as well as the additional patients and all corresponding chest x-rays.

Additional information about using this data as well as some collection meta data can be obtained in the Supporting Documentation below.

Data Access

Collection Statistics




Number of Patients

399 1,010

Number of Studies


Number of Series


Number of Images


You can view and download these images on the Cancer Imaging Archive. You will need an user account to log in. Simply follow these steps:


  • Press the "Check All" button and then "Add to Basket"
  • Press the "View My Basket" button at the bottom of the page (or "View Contents" in the left menu bar)
  • Press the "Download Manager" button to open a Java applet and specify where you'd like to save your images

Supporting Documentation

More information about the Cancer Imaging Program's Program Announcement for LIDC can be found at:

Reader Annotation and Markup

These links help describe how to use the .XML annotation files which are packaged along with the images in NBIA.

Annotation and Markup Issues/Comments


You can download this Diagnosis Data at: ^LIDC LIDC Diagnosis Data-01-08-10.xls|||\

Note: Data is still arriving from the LIDC sites, and so in the coming months this spreadsheet will be updated as more information is receivedThis data has not yet been updated to match the new patient ID structure

AIM Annotation Conversion Project

As part of an effort to move towards standard formats for annotation and markup a project has been undertaken to convert this data from the LIDC project into Annotated Image Markup format (AIM).  AIM is a standard which was developed out of the caBIG program.  A related section of the wiki has been dedicated to covering the activities of this project and More information about this effort can be found here on the NCI CBIIT wikiLIDC Conversion to AIM



Downloading MAX and its associated files implies acceptance of the following notice (also available here|^CopyrightAndLicense.txt|||\ and in the distro as a text file):


Image Modified


DISCLAIMER: MAX is not guaranteed to process all input correctly. Possible errors include (but are not limited to) the inability to process correctly some types of nodule ambiguity (where nodule ambiguity refers to overlap between nodule markings having complicated shapes or to overlap between a nodule marking and a non-nodule mark).

Download the distro (max-V107.tgz)|^max-V107.tgz|||\; view/download ^ReadMeReadMe.txt|||\ (a text file that is also included in the distro).