Image understanding system for histopathology.

P H Bartels; M Bibbo; A Graham; S Paplanus; R L Shoemaker; D Thompson

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PubMed · 2487045

Image understanding system for histopathology.

P H Bartels·M Bibbo·A Graham·S Paplanus·R L Shoemaker·D Thompson

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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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Diagnosis, Computer-Assisted Expert Systems Image Processing, Computer-Assisted Pathology Journal Article Research Support, U.S. Gov't, P.H.S.

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P H Bartels, M Bibbo, A Graham, S Paplanus, R L Shoemaker, D Thompson. 1989. Image understanding system for histopathology.. https://pubmed.ncbi.nlm.nih.gov/2487045/

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