Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms.
Neeraj DhungelGustavo CarneiroAndrew P. BradleyPublished in: ISBI (2015)
Keyphrases
- belief propagation
- deep learning
- graphical models
- energy function
- graph cuts
- markov random field
- message passing
- image segmentation
- stereo matching
- unsupervised learning
- approximate inference
- segmentation algorithm
- shape prior
- object segmentation
- level set
- markov networks
- loopy belief propagation
- segmentation method
- pairwise
- higher order cliques
- mental models
- higher order
- probabilistic graphical models
- machine learning
- dimensionality reduction
- probabilistic model
- weakly supervised
- exact inference
- free energy
- computer vision
- image retrieval
- multiple objects
- multiscale
- bayesian networks
- high quality