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. 1992 Dec;14(6):459-73.

Bayesian belief networks in quantitative histopathology

P H Bartels  1 , D Thompson, M Bibbo, J E Weber
Affiliations
  • PMID: 1292445

Bayesian belief networks in quantitative histopathology

P H Bartels et al. Anal Quant Cytol Histol. 1992 Dec.

Abstract

Bayesian belief networks have a dynamic range and numeric response characteristics that make them uniquely suitable for descriptive classification schemes. Features showing considerable overlap of tolerance regions may be used, in a cumulative manner, to derive unequivocal classification decisions. The numeric response characteristics of Bayesian belief networks are analyzed, and their application as control modules in automated scene segmentation in histopathology is demonstrated.

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