Hybrid AI Fuses Deep and Handcrafted Features for Near-Perfect Cervical Cancer Screening
A hybrid machine learning framework fusing autoencoder-learned representations with handcrafted texture features achieved approximately 99.85% test accuracy for cervical cancer ...
