Image understanding system for histopathology |
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Authors: | P H Bartels M Bibbo A Graham S Paplanus R L Shoemaker D Thompson |
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Institution: | Optical Sciences Center, University of Arizona, Tucson 85721. |
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Abstract: | An image understanding machine vision system for histological diagnoses is based on three interacting expert systems: a diagnostic expert system utilizing terms familiar to pathologists, an interpretive expert system relating human diagnostic concepts to computable histometric features and a scene segmentation expert system which extracts the diagnostic information from the imagery. The control software for the image understanding system resides on a multiprocessor computer. This article details measures to maintain system efficiency and to accommodate the requirements of interprocess communication and processing task scheduling. |
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