title: A new expert system for histopathological diagnosis of human ovarian epithelial cancer.
abstract: A new rule-based expert system designed to assist pathologists in the histological diagnosis of human ovarian epithelial cancer has been developed. The system was implemented using the INSIGHT II+ EXPERT System Shell and runs on IBM compatible microcomputers. It operates using knowledge acquired through the literature, research and experience, formulated into a total of 195 IF-THEN rules. The WHO International Histological Classification of Tumours is being used throughout. The system can quickly focus on a differential problem, thereby reducing the time necessary to reach a conclusion. It has been tested on a set of 34 cases, previously examined by pathologists of the Metaxas Memorial Cancer Institute, and has been found to reach good agreement with the pathologists' diagnoses.
authors.affiliation: Metaxas Memorial Cancer Institute of Piraeus, Department of Pathology, Piraeus, Greece.
authors.forename: E
authors.initials: E
authors.lastname: Protopapa
authors.forename: G
authors.initials: G
authors.lastname: Miaoulis
authors.forename: M
authors.initials: M
authors.lastname: Ferreiro
authors.forename: J
authors.initials: J
authors.lastname: Panayiotides
authors.forename: S K
authors.initials: SK
authors.lastname: Katsikas
authors.forename: G
authors.initials: G
authors.lastname: Delides
mesh_terms: D004848:Epithelium / Q000473:pathology; D005103:Expert Systems; D005260:Female; D006801:Humans; D010051:Ovarian Neoplasms / Q000145:classification / Q000473:pathology*