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Title: Belief network for grading prostate lesions. Author: Bibbo M, Bartels PH, Pfeifer T, Thompson D, Minimo C, Davidson HG. Journal: Anal Quant Cytol Histol; 1993 Apr; 15(2):124-35. PubMed ID: 8318127. Abstract: 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.[Abstract] [Full Text] [Related] [New Search]