What is it about?
Computer-aided detection (CAD) of microcalcification clusters (MCs) in corresponding digital mammography (DM) and digital breast tomosynthesis (DBT) of the same subjects but different compression were compared. The two CAD systems were designed separately with different approaches. The CADDBT system uses 3D enhancement-modulated calcification response, cluster seed and object ranking, adaptive thresholds and dynamic conditional clustering to reduce the large number of false positives.
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Why is it important?
JAFROC analysis showed no significant difference between MC detection in DBT and DM, indicating that the FP reduction techniques in the CADDBT system may have mitigated the issue of large search space and blurring observed in DBT.
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This page is a summary of: Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis, March 2015, SPIE,
DOI: 10.1117/12.2081874.
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