Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends

ABSTRACT The high‐resolution three‐dimensional (3D) images generated with digital breast tomosynthesis (DBT) in the screening of breast cancer offer new possibilities for early disease diagnosis. Early detection is especially important as the incidence of breast cancer increases. However, DBT also p...

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Autors principals:	Ruoyun Wang, Fanxuan Chen, Haoman Chen, Chenxing Lin, Jincen Shuai, Yutong Wu, Lixiang Ma, Xiaoqu Hu, Min Wu, Jin Wang, Qi Zhao, Jianwei Shuai, Jingye Pan
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-06-01
Col·lecció:	MedComm
Matèries:	early breast cancer screening digital breast tomosynthesis deep learning public database medical image analysis
Accés en línia:	https://doi.org/10.1002/mco2.70247
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