Density-Aware Multi-Dataset Evaluation of Deep Learning for Mammographic Mass Detection and BI-RADS Classification

Breast density has a significant impact on how clearly masses appear in mammography. It can also introduce bias in automatic localization systems when density distributions are uneven. Although advances in deep learning-based detection methods have been made, most studies report overall performance...

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Главные авторы:	Hector E. Zepeda-Reyes, Hayde Peregrina-Barreto, Gabriela C. Lopez-Armas
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-06-01
Серии:	Mathematics
Предметы:	mammography breast masses ACR breast density BI-RADS clinical classification computer-aided diagnosis
Online-ссылка:	https://www.mdpi.com/2227-7390/14/12/2080
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