KSL-93-33 + redirect page
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours + Has identifier
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours + Ksl tr id
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours + Number
| Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours |
Bibtype
techreport
Has publishing details
1993
Has title
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours
Has where published
KSL-93-33
Has year
1993
Title
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours
Year
1993
Abstract
One of the key challenges within medical i … One of the key challenges within medical information sciences is the development of useful models for biological structure and its variability. Many biomedical problems involve the elucidation of structure (for example, from experimental data or from imaging studies), and structural models can often drive the process of inferring precise structure from data. Ideally, model-driven data interpretation combines knowledge about the generic features of a class of biological structures (as contained within a model) with data that provide specific information (often noisy) about a particular instance of the class. In this paper we briefly discuss model-driven determination of biological structure as an example of a structural constraint satisfaction problem. We describe a probabilistic implementation of structural constraint satisfaction, and show that our formulation of a particular organ modeling technology (Radial Contour Models) exhibits promising performance. Our results demonstrate the utility of probabilistic models for the solution of structural constraint satisfaction problems. ructural constraint satisfaction problems.
Note
April Updated August 1993.
Address
Washington D.C. +
Author
Russ B. Altman and James F. Brinkley +
Has author
Russ B. Altman and James F. Brinkley +
Has identifier
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours +
Number
Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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