Publications by authors named "Robert Peter Moseley"

Objective: To develop a Bayesian belief network (BBN) for Gleason grading of prostate adenocarcinoma.

Study Design: A shallow network was developed for Gleason grading with open-tree topology, with a root node containing 5 subjective diagnostic alternatives and 8 first-level descendant nodes for diagnostic features. Features or diagnostic clues of the descendant nodes were based on architecture of Gleason patterns.

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