Advancements in deep learning for early breast cancer detection using artificial intelligence models in low resource settings
The most important contributions from this review are a quantitative comparison of efficiency for edge versus cloud deployment, detection of dataset bias, and practical recommendations regarding infrastructure, regulatory pathways, and privacy-preserving federated learning.
Kennedy T. Chitiza, Abid Yahya, Nechibvute Action et al.
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