High-level prior-based loss functions for medical image segmentation: A survey.
Rosana El JurdiCaroline PetitjeanPaul HoneineVeronika CheplyginaFahed AbdallahPublished in: Comput. Vis. Image Underst. (2021)
Keyphrases
- loss function
- medical image segmentation
- medical images
- pairwise
- support vector
- loss minimization
- level set method
- curve evolution
- medical image analysis
- risk minimization
- statistical shape model
- image segmentation
- learning to rank
- medical imaging
- prior knowledge
- regularization term
- magnetic resonance images
- reproducing kernel hilbert space
- convex loss functions
- maximum a posteriori