A diagnostic expert system for colonic lesions.

Abstract:

:The diagnostic expert system for colonic lesions (DESCL) was designed to discriminate colonic adenoma and adenocarcinoma from normal colonic tissue. Although it was originally developed for use in conjunction with a machine vision analytic system, the DESCL has evolved into a teaching tool and a model for conceptual machine learning. The expert system is table driven and consists of a shell and a knowledge base. The latter comprises a series of architectural and cytologic observations and a quantitative estimate of diagnostic importance relating these observations to diagnostic outcome. In a validation study of 100 colonic lesions, the expert system achieved a success rate of 98%. It has the flexibility to allow individual pathologists to "customize" the knowledge base to suit their diagnostic criteria.

journal_name

Am J Clin Pathol

authors

Graham AR,Paplanus SH,Bartels PH

subject

Has Abstract

pub_date

1990-10-01 00:00:00

pages

S15-8

issue

4 Suppl 1

eissn

0002-9173

issn

1943-7722

journal_volume

94

pub_type

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