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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Hlavní autoři:	Tareq Waisi, Andrew Crampton, Muhammad Ayub Ansari
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Breast cancer classification and detection breast cancer localisation and segmentation breast cancer risk prediction deep learning explainable artificial intelligence (XAI) Mammography
On-line přístup:	https://ieeexplore.ieee.org/document/11556134/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!