title: Image understanding system for histopathology.
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.
authors.affiliation: Optical Sciences Center, University of Arizona, Tucson 85721.
authors.forename: P H
authors.initials: PH
authors.lastname: Bartels
authors.forename: M
authors.initials: M
authors.lastname: Bibbo
authors.forename: A
authors.initials: A
authors.lastname: Graham
authors.forename: S
authors.initials: S
authors.lastname: Paplanus
authors.forename: R L
authors.initials: RL
authors.lastname: Shoemaker
authors.forename: D
authors.initials: D
authors.lastname: Thompson
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D005103:Expert Systems; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D010336:Pathology / Q000295:instrumentation*