Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings

AUTOR(ES)

Burnside, Elizabeth S.

FONTE

Radiological Society of North America

RESUMO

Purpose: To determine whether a Bayesian network trained on a large database of patient demographic risk factors and radiologist-observed findings from consecutive clinical mammography examinations can exceed radiologist performance in the classification of mammographic findings as benign or malignant.

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