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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Hector E. Zepeda-Reyes, Hayde Peregrina-Barreto, Gabriela C. Lopez-Armas
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-06-01
Sarja:	Mathematics
Aiheet:	mammography breast masses ACR breast density BI-RADS clinical classification computer-aided diagnosis
Linkit:	https://www.mdpi.com/2227-7390/14/12/2080
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