Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar +6

Uncertainty quantification in automated image analysis is highly desired in many applications. Typically, machine learning models in classification or segmentation are only develop…