Elizabeth G. Berry

Multi-criterion uncertainty estimation improves skin cancer distribution shift detection and malignancy prediction

Accessible imaging technologies and stronger machine learning (ML) architectures have spurred a race to develop models to complete dermatological tasks like automated skin cancer diagnosis. However, models with high performance on benchmark datasets deteriorate when challenged with data from disparate clinical source...