Machine vision system for diagnostic histopathology.

In a machine vision system for the diagnostic assessment of histopathologic sections, human diagnostic knowledge and human ability to recognize components in a complex image need to be emulated. This is attempted by three integrated expert systems, supported by a multiprocessor computer with data-driven, dynamically reconfigurable architecture.

[1]  Larry J. Dalton,et al.  An embedded multiprocessor computer for proof-of-principle testing of exploratory systems concepts , 1987 .

[2]  P.H. Bartels,et al.  Performance evaluation of an expert system using rescaled certainty factors (medical diagnosis) , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[4]  P H Bartels,et al.  Colonic lesion expert system. Performance evaluation. , 1988, Analytical and quantitative cytology and histology.

[5]  John F. O'Callaghan,et al.  Computing the perceptual boundaries of dot patterns , 1974, Comput. Graph. Image Process..

[6]  Reinhard Männer,et al.  The Heidelberg Polyp System , 1987, IEEE Micro.

[7]  Michael J. Flynn,et al.  Some Computer Organizations and Their Effectiveness , 1972, IEEE Transactions on Computers.

[8]  P H Bartels,et al.  Machine learning in quantitative histopathology. , 1988, Analytical and quantitative cytology and histology.

[9]  John F. O'Callaghan,et al.  An Alternative Definition for "Neighborhood of a Point" , 1975, IEEE Transactions on Computers.

[10]  K. Kayser Application of structural pattern recognition in histopathology , 1988 .