An expert system designed as a tutoring tool in cervical cytology: TTCC-1 system

Z. Tang, A. Savino, E. K. Wong, L. G. Koss, L. G. Shaw

    Research output: Contribution to journalArticlepeer-review


    A knowledge-based intelligent system being developed as a computer-assisted tutoring tool that can be used by teachers and students of cervical cytology is described. This system uses a combination of frames and rules as knowledge representation. Combination data structures called 'prototypes' characterize the typical cytoplasmic and nuclear features of classes of cervical cells by using a specific prototype for each hypothesized cell type. A hypothesis-directed approach is used for problem solving. Rules are associated with each prototype or hypothesis. There are two major kinds of rules: deducing rules, used for deducing certainty factors (expressed as degrees of certainty of the hypotheses), and strategy rules, used for guiding the user in reaching a conclusion about the test cell. With an easy-to-use interactive menu, the user inputs a series of sets of qualitative cell features, which the system utilizes at various inference stages and finally arrives at a decision about the cell type.

    Original languageEnglish (US)
    Pages (from-to)417-422
    Number of pages6
    JournalAnalytical and Quantitative Cytology and Histology
    Issue number6
    StatePublished - 1988

    ASJC Scopus subject areas

    • Anatomy
    • Histology


    Dive into the research topics of 'An expert system designed as a tutoring tool in cervical cytology: TTCC-1 system'. Together they form a unique fingerprint.

    Cite this