A Hierarchical Expert System For Automated Diagnostic Assessment Of Histopathologic Images

W. P. Kuhn; P. H. Bartels; W. G. Griswold; R. L. Shoemaker

doi:10.1117/12.942137

18 January 1988 A Hierarchical Expert System For Automated Diagnostic Assessment Of Histopathologic Images

W. P. Kuhn, P. H. Bartels, W. G. Griswold, R. L. Shoemaker

Proceedings Volume 0829, Applications of Digital Image Processing X; (1988) https://doi.org/10.1117/12.942137
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

Abstract

The quantitative assessment of histopathologic sections has in the past been concerned primarily with karyometric determinations.¹ Increasingly, though, the diagnostic information offered by tissue architecture is also being analyzed.^2,3 This type of higher-level analysis is becoming increasingly attractive because of the development of laser scanner microscopes4 that allow the rapid acquisition of large-area high-resolution tissue section images, and the simultaneous development of very powerful but relatively inexpensive multiprocessor systems that provide the needed computational power to analyze complex images within a reasonable time.

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W. P. Kuhn, P. H. Bartels, W. G. Griswold, and R. L. Shoemaker "A Hierarchical Expert System For Automated Diagnostic Assessment Of Histopathologic Images", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942137

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