Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.
Thomas BuddenkotteLorena Escudero SanchezMireia Crispin-OrtuzarRamona WoitekCathal McCagueJames D. BrentonOzan ÖktemEvis SalaLeonardo RundoPublished in: CoRR (2022)
Keyphrases
- deep learning
- machine learning
- unsupervised learning
- segmentation algorithm
- level set
- medical images
- unsupervised feature learning
- segmentation method
- shape prior
- image segmentation
- multiscale
- mental models
- deep architectures
- object segmentation
- weakly supervised
- decision trees
- high dimensional
- reinforcement learning