J. V. Panicker

Adaptive dual backbone feature fusion with compact latent representation learning for pap smear image classification

Cervical cancer is highly preventable when precancerous cytological abnormalities are identified early; however, manual Pap smear assessment remains labour-intensive, time-consuming, and prone to inter-observer variability. Automated cervical cytology is also challenging because Pap smear cell images often exhibit subt...