MTGA-Net: A Multi-Tier Global-Attention Deep Learning Framework for Enhanced Breast Mass Classification in Mammographic Images

Breast cancer, recognized as a leading health threat among women globally, underscores the need for innovations in early detection and diagnostic methods. Traditional mammography, despite being widely used, suffers from time-consuming processes and variability in interpretation. This study aims to e...

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Detalles Bibliográficos

Autores principales:	Ala'A R. Al-Shamasneh, Siwar Rekik, Helene Kanso, Yu Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2026-01-01
Colección:	IEEE Access
Materias:	Health issue mass classification deep learning global attention network Grad-CAM
Acceso en línea:	https://ieeexplore.ieee.org/document/11432822/
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