Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)
Use of an assumption-based truth maintenance system to record and resolve ambiguity in cardiac angiograms
KeywordsProblem Solver Knowledge Source Ambiguous Feature Truth Maintenance System Consistent Environment
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- 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.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.Reiber J.H.C. and P.W. Serruys, Eds., State of the Art in Quantitative Coronary Arteriography. Martinus Nijhoff. 1986Google Scholar
- 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.Doyle J. A Truth Maintenance System. Artificial Intelligence, Vol. 12, 1979Google Scholar
- 6.de Kleer J. An Assumption-based TMS. Artificial Intelligence, Vol. 28, 1986Google Scholar
- 7.de Kleer J. Extending the ATMS. Artificial Intelligence, Vol. 28, 1986Google Scholar
- 8.de Kleer J. Problem Solving with the ATMS Artificial Intelligence, Vol. 28, 1986Google Scholar
© Springer-Verlag Berlin Heidelberg 1988