title: Machine vision system for diagnostic histopathology.
abstract: In a machine vision system for the diagnostic assessment of histopathologic sections, human diagnostic knowledge and human ability to recognize components in a complex image need to be emulated. This is attempted by three integrated expert systems, supported by a multiprocessor computer with data-driven, dynamically reconfigurable architecture.
authors.affiliation: Optical Sciences Center, University of Arizona, Tucson.
authors.forename: P H
authors.initials: PH
authors.lastname: Bartels
authors.forename: D
authors.initials: D
authors.lastname: Thompson
authors.forename: H G
authors.initials: HG
authors.lastname: Bartels
authors.forename: R
authors.initials: R
authors.lastname: Shoemaker
mesh_terms: D000230:Adenocarcinoma / Q000473:pathology; D000236:Adenoma / Q000473:pathology; D002467:Cell Nucleus / Q000473:pathology; D003110:Colonic Neoplasms / Q000145:classification / Q000473:pathology; D005103:Expert Systems; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D008838:Microcomputers; D010338:Pathology, Clinical / Q000295:instrumentation*; D011237:Predictive Value of Tests; D011471:Prostatic Neoplasms / Q000473:pathology