Slim Ben Chaabane

Uncertainty-aware adaptive fusion with graceful degradation for trustworthy cervical cytology

Abstract Trustworthy cervical cancer screening requires not only accurate classification but also reliable estimation of predictive uncertainty to identify cases that should be referred to clinical experts. This study presents an uncertainty-aware deep learning framework that int...