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Deep Learning in Breast Cancer Screening: A Critical Review of Translational Challenges and Future Directions

Deep learning is transforming breast cancer screening by automating mammogram analysis. However, the rapid evolution of model architectures necessitates a critical evaluation of the field’s trajectory and its readiness for clinical translation. This systematic literature review, conducted in...

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Bibliografische Detailangaben
Hauptverfasser: Tareq Waisi, Andrew Crampton, Muhammad Ayub Ansari
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2026-01-01
Schriftenreihe:IEEE Access
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Online-Zugang:https://ieeexplore.ieee.org/document/11556134/
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