title: The PARTICLE expert system for tumor grading by automated image analysis.
abstract: While automated microscopic image analysis of histologic sections has been helpful in objectivizing histologic tumor grading and investigating the relationships between grading and prognosis, expert systems have the potential of linking image analysis and other data for statistical analysis and application to a wider range of tumors. One such expert system is PARTICLE, whose development was based on many years of experience in resolving histologic problems by image analysis. This paper discusses the philosophy of expert system for tumor grading and describes its implementation in the PARTICLE system. The system's structure, operations and applications are briefly presented. PARTICLE is essentially based on the evaluation of karyometric data.
authors.affiliation: Institute of Pathology, Charité School of Medicine, Humboldt University of Berlin, German Democratic Republic.
authors.forename: P
authors.initials: P
authors.lastname: Hufnagl
authors.forename: H
authors.initials: H
authors.lastname: Guski
authors.forename: G
authors.initials: G
authors.lastname: Wolf
authors.forename: K
authors.initials: K
authors.lastname: Wenzelides
authors.forename: H
authors.initials: H
authors.lastname: Martin
authors.forename: K
authors.initials: K
authors.lastname: Roth
mesh_terms: D002467:Cell Nucleus / Q000473:pathology; D005103:Expert Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009369:Neoplasms / Q000473:pathology*