A Novel Structure Fusion Attention Model to Detect Architectural Distortion on Mammography

Ting-Wei Ou, Tzu-Chieh Weng,Ruey-Feng Chang

Deleted Journal（2024）

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摘要

Architectural distortion (AD) is one of the most common findings on mammograms, and it may represent not only cancer but also a lesion such as a radial scar that may have an associated cancer. AD accounts for 18–45

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关键词

Architectural distortion,Computer-aided detection,Mammography,Architecture enhancement,Convergence map,Deep learning,Attention mechanism,Structure fusion attention model

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