Advertisement

Use of an assumption-based truth maintenance system to record and resolve ambiguity in cardiac angiograms

  • S. T. Rake
  • L. D. R. Smith
Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)

Keywords

Problem Solver Knowledge Source Ambiguous Feature Truth Maintenance System Consistent Environment 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Smith L.D.R. and P.Quarendon. Four-Dimensional Cardiac Imaging. SPIE Proceedings 593, Conference on Medical Image Processing, pp 74–77, 1985.Google Scholar
  2. 2.
    Smith L.D.R. et al. A semi automatic system for the production of quantitative four dimensional cardiac images. Proceedings IEE Number 265, pp 72–76, 1986Google Scholar
  3. 3.
    Reiber J.H.C. and P.W. Serruys, Eds., State of the Art in Quantitative Coronary Arteriography. Martinus Nijhoff. 1986Google Scholar
  4. 4.
    Smith L.D.R. et al. Quantitative Moving Three Dimensional (3D) Images of the Heart and Coronary Arteries. An Automated Method of Production (Abs). Circulation, Vol. 74, Supp II, Oct 1986.Google Scholar
  5. 5.
    Doyle J. A Truth Maintenance System. Artificial Intelligence, Vol. 12, 1979Google Scholar
  6. 6.
    de Kleer J. An Assumption-based TMS. Artificial Intelligence, Vol. 28, 1986Google Scholar
  7. 7.
    de Kleer J. Extending the ATMS. Artificial Intelligence, Vol. 28, 1986Google Scholar
  8. 8.
    de Kleer J. Problem Solving with the ATMS Artificial Intelligence, Vol. 28, 1986Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • S. T. Rake
    • 1
  • L. D. R. Smith
    • 1
  1. 1.IBM(UK) Scientific CentreWinchester and Brompton HospitalLondon

Personalised recommendations