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Performance Tradeoffs in a Model Breast Tomosynthesis System

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Abstract

Digital breast tomosynthesis (DBT) researchers need accurate, inexpensive, task-based assessment tools for optimizing multivariate DBT systems. With improved object statistics and better multiprojection observer models, our computational framework approaches detailed multi-parameter mapping of performance tradeoffs.

© 2010 Optical Society of America

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