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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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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2025-06-01
coleção:MedComm
Assuntos:
early breast cancer screening
digital breast tomosynthesis
deep learning
public database
medical image analysis
Acesso em linha:https://doi.org/10.1002/mco2.70247
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