A Composite Approach To The Identification Of High-Level Topological Features In A Histopathologic Image

W. P. Kuhn; H. G. Bartels; P. H. Bartels; D. L. Richards; J. S. Saffer; R. L. Shoemaker

doi:10.1117/12.968670

27 June 1988 A Composite Approach To The Identification Of High-Level Topological Features In A Histopathologic Image

W. P. Kuhn, H. G. Bartels, P. H. Bartels, D. L. Richards, J. S. Saffer, R. L. Shoemaker

Proceedings Volume 0914, Medical Imaging II; (1988) https://doi.org/10.1117/12.968670
Event: Medical Imaging II, 1988, Newport Beach, CA, United States

Abstract

Analysis of the large amounts of image data obtainable from very-high-speed scanning laser microscopes places severe demands on computer software and hardware architectures. The automated calculation of features over entire images can provide quantitative data useful to a pathologist who must make a diagnosis. A program that identifies objects of diagnostic interest in an image must utilize a model of the image. An expert system is an effective method for building abstract models of object hierarchies and for utilizing heuristic information. In this paper we discuss a composite approach to image understanding and assessment that utilizes an expert system to control a set of image processing functions for the recognition of various objects in an image.

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W. P. Kuhn, H. G. Bartels, P. H. Bartels, D. L. Richards, J. S. Saffer, and R. L. Shoemaker "A Composite Approach To The Identification Of High-Level Topological Features In A Histopathologic Image", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968670

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