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Proceedings Paper

Image-Data-Driven Dynamically-Reconfigurable Multiprocessor System In Automated Histopathology
Author(s): R. L. Shoemaker; P. H. Bartels; H. Bartels; W. G. Griswold; D. Hillman; R. Maenner
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Paper Abstract

The diagnostic evaluation of biomedical imagery by computer presents a massive data processing problem that may be effectively handled by multiprocessor computer systems such as the Heidelberg Polyp. A hardware and software configuration of the Polyp is described that can run as a data-driven system directed by a knowledge data base for efficient image analysis.

Paper Details

Date Published: 21 April 1986
PDF: 9 pages
Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); doi: 10.1117/12.952306
Show Author Affiliations
R. L. Shoemaker, University of Arizona (United States)
P. H. Bartels, University of Arizona (United States)
H. Bartels, University of Arizona (United States)
W. G. Griswold, University of Arizona (United States)
D. Hillman, University of Arizona (United States)
R. Maenner, University of Arizona (United States)


Published in SPIE Proceedings Vol. 0596:
Architectures and Algorithms for Digital Image Processing III
Francis J. Corbett; Howard Jay Siegel; Michael J. Duff, Editor(s)

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