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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Wiley 2025-06-01
Series:MedComm
Subjects:
early breast cancer screening
digital breast tomosynthesis
deep learning
public database
medical image analysis
Online Access:https://doi.org/10.1002/mco2.70247
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https://doi.org/10.1002/mco2.70247

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