Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models.
Aurijoy MajumdarKuang-Yu JenSanjay JainJohn E. TomaszewskiPinaki SarderPublished in: Medical Imaging: Digital Pathology (2019)
Keyphrases
- graphical models
- structural patterns
- diabetes mellitus
- bayesian networks
- statistical inference
- belief propagation
- probabilistic model
- random variables
- approximate inference
- probabilistic inference
- structure learning
- social network analysis
- conditional random fields
- probabilistic graphical models
- graph structure
- conditional independence
- posterior probability
- markov networks
- bayesian inference
- maximum likelihood
- transformation rules
- rewrite rules
- machine learning
- level set
- design patterns
- biological networks
- distributed systems
- causal relations
- image segmentation
- metadata