RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation.
Marc GantenbeinErtunc ErdilEnder KonukogluPublished in: CoRR (2020)
Keyphrases
- memory efficient
- medical image segmentation
- neural network
- medical images
- curve evolution
- medical image analysis
- statistical shape model
- level set method
- image segmentation
- pattern recognition
- medical imaging
- deformable models
- user interaction
- object boundaries
- magnetic resonance images
- anatomical structures
- mutual information
- ground truth