Akinwonmi Akintoba Emmanuel

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.