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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IEEE
2026-01-01
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| Schriftenreihe: | IEEE Access |
| Schlagworte: | |
| Online-Zugang: | https://ieeexplore.ieee.org/document/11556134/ |
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