Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias

  • M. W. Brauner
  • N. Brauner
  • P. L. Hammer
  • I. Lozina
  • D. Valeyre
Part of the Springer Optimization and Its Applications book series (SOIA, volume 7)


The aim of this chapter is to analyze computed tomography (CT) data by using the Logical Analysis of Data (LAD) methodology in order to distinguish between three types of idiopathic interstitial pneumonias (IIPs). The chapter demonstrates that LAD can distinguish different forms of IIPs with high accuracy It shows also that the patterns developed by LAD techniques provide additional information about outliers, redundant features, the relative significance of attributes, and makes possible the identification of promoters and blockers of various forms of IIPs.


Idiopathic Pulmonary Fibrosis Logical Analysis Idiopathic Pulmonary Fibrosis Patient Polygonal Line Negative Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • M. W. Brauner
    • 1
  • N. Brauner
    • 2
  • P. L. Hammer
    • 3
  • I. Lozina
    • 3
  • D. Valeyre
    • 4
  1. 1.Department of Radiology, Fédération MARTHA, UFR BobignyUniversité Paris 13 et Hôpital Avicenne AP-HPBobigny CedexFrance
  2. 2.Laboratoire Leibniz-IMAGGrenoble CedexFrance
  3. 3.RUTCORRutgers UniversityPiscatawayUSA
  4. 4.Department of Pneumology, Fédération MARTHA, UFR BobignyUniversité Paris 13 et Hôpital Avicenne AP-HPBobigny CedexFrance

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