Hybrid deep learning for breast cancer diagnosis: a mechanism-centered systematic review, taxonomy, and evidence synthesis
This systematic review synthesizes hybrid deep learning methods across mammography, ultrasound, MRI, histopathology/whole-slide imaging, and clinically oriented multimodal settings and provides practical reporting and evaluation recommendations to support more reliable and clinically ready systems.