title: A pulmonary nodule view system for the Lung Image Database Consortium (LIDC).
abstract: OBJECTIVE
  The aim of this study was to develop a pulmonary nodule viewing system to visualize and retrieve data from the Lung Image Database Consortium.
  
  
  METHODS
  The pulmonary nodule viewing system, developed using Microsoft C++ and the .NET 2.0 Framework, is composed of a clinical information integrator, a nodule viewer, a search engine, and a data model.
  
  
  RESULTS
  A pulmonary nodule viewing system using Lung Image Database Consortium data for computer-aided diagnosis research and training purpose was developed.
  
  
  CONCLUSIONS
  The pulmonary nodule viewing system can be used to build a pulmonary nodule database for computer-aided diagnosis research and medical education. It can also be used to view and retrieve large data sets efficiently.
authors.affiliation: School of Info-Physics and Geomatics Engineering, Central South University, Changsha, China. wanglinjiayi2003@163.com
authors.forename: Hongli
authors.initials: H
authors.lastname: Lin
authors.forename: Zhencheng
authors.initials: Z
authors.lastname: Chen
authors.forename: Weisheng
authors.initials: W
authors.lastname: Wang
mesh_terms: D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated; D011873:Radiology Information Systems; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed