Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation.
Adrian V. DalcaJohn V. GuttagMert R. SabuncuPublished in: CVPR (2018)
Keyphrases
- medical images
- fully unsupervised
- image segmentation
- segmentation algorithm
- bayesian image segmentation
- multiscale
- biomedical images
- prior information
- text segmentation
- statistical shape
- level set
- brain structures
- biomedical image analysis
- network structure
- prior model
- probabilistic atlas
- brain mri
- anatomical structures
- image analysis
- segmented images
- atlas construction
- object segmentation
- region growing
- segmentation method
- information extraction
- mouse brain
- labeling problems
- network architecture
- restricted boltzmann machine
- learned from training data
- subject specific
- accurate segmentation
- prior probabilities
- normalized cut
- machine learning
- magnetic resonance images
- bayesian framework
- complex networks
- medical imaging
- supervised learning
- prior knowledge
- social networks