Belief network for grading prostate lesions

A Bayesian belief network for grading prostatic lesions into eight primary Gleason grades was developed and tested. The network employs 13 diagnostic clues, 8 based on tissue architectural features and 5 based on nuclear features. For every diagnostic clue, three to five different outcomes are speci...

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Bibliographic Details
Published inAnalytical and quantitative cytology and histology Vol. 15; no. 2; p. 124
Main Authors Bibbo, M, Bartels, P H, Pfeifer, T, Thompson, D, Minimo, C, Davidson, H G
Format Journal Article
LanguageEnglish
Published United States 01.04.1993
Subjects
Adenocarcinoma - pathology
Adenocarcinoma - ultrastructure
Bayes Theorem
Cell Nucleus - pathology
Diagnosis, Differential
Humans
Male
Prostatic Neoplasms - pathology
Prostatic Neoplasms - ultrastructure
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Summary:A Bayesian belief network for grading prostatic lesions into eight primary Gleason grades was developed and tested. The network employs 13 diagnostic clues, 8 based on tissue architectural features and 5 based on nuclear features. For every diagnostic clue, three to five different outcomes are specified by membership functions. The network works in a robust fashion and attained agreement with consensus visual grading in 241 of 256 microscopic fields.
ISSN:0884-6812
2690-7593