Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Thomas BuddenkotteLorena Escudero SanchezMireia Crispin-OrtuzarRamona WoitekCathal McCagueJames D. BrentonOzan ÖktemEvis SalaLeonardo RundoPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- deep learning
- medical image segmentation
- medical images
- unsupervised learning
- curve evolution
- medical image analysis
- machine learning
- image segmentation
- medical imaging
- decision trees
- level set method
- statistical shape model
- weakly supervised
- active contours
- mental models
- input image
- viewpoint
- pairwise
- training set
- learning algorithm