Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors.
Arnaud BoutillonPierre-Henri ConzeChristelle PonsValérie BurdinBhushan BorotikarPublished in: Medical Image Anal. (2022)
Keyphrases
- multi task
- multi domain
- multiscale
- group lasso
- sparse learning
- multi task learning
- medical images
- elastic net
- sparsity inducing
- cross domain
- prior information
- structured sparsity
- medical imaging
- learning tasks
- image processing
- transfer learning
- image segmentation
- domain specific
- multiple tasks
- gaussian processes
- learning problems
- metric learning
- feature selection
- multi class
- data sets
- accelerated proximal gradient
- sparse coding
- bayesian framework
- magnetic resonance images
- sparse representation
- natural images
- markov random field
- knowledge discovery
- active learning
- prior knowledge
- feature vectors
- decision trees