Deep Learning and Ensemble Learning Techniques for Breast Cancer Detection: A Review of Recent Advances
The review concludes that optimized, explainable, and adversarially robust ensemble frameworks, validated through multi-center clinical trials, represent the most promising direction for translating deep learning research into dependable and deployable breast cancer detection systems.
Abraham Temilade Olumide, Obe Olumide Olayinka, Akinwonmi Akintoba Emmanuel et al.
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