Article

Generating Pseudo-Subtracted Image in Dual-Energy Contrast-Enhanced Spectral Mammography Using Transfer Learning

2025-03-26

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>: Dual-energy contrast-enhanced spectral mammography (CESM) enhances breast cancer detection but increases radiation exposure, especially for high-risk patients like BRCA1 mutation carriers. Additionally, the dual-energy acquisition process can be time-consuming. This study uses deep learning to convert low-energy images into subtracted images, reducing radiation...

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Literature Corpus work: 9925b1c1-6d3d-5020-97f5-097d04c33c7d
DOI: 10.21203/rs.3.rs-6147032/v1

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