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Dependency of image quality on system configuration parameters in a stationary digital breast tomosynthesis system
Author(s) -
Andrew Tucker,
Jianping Lü,
Otto Zhou
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/8502-gk79
Subject(s) - dependency (uml) , tomosynthesis , computer vision , computer science , image quality , quality (philosophy) , artificial intelligence , digital breast tomosynthesis , image (mathematics) , mammography , breast cancer , medicine , physics , cancer , quantum mechanics

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