Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images.
Sami BourouisAbdullah AlharbiNizar BouguilaPublished in: J. Imaging (2021)
Keyphrases
- mixture model
- x ray images
- bayesian learning
- model selection
- chest radiographs
- x ray
- fracture detection
- em algorithm
- medical images
- gaussian mixture model
- posterior distribution
- cross validation
- density estimation
- hyperparameters
- probabilistic model
- generative model
- dirichlet prior
- maximum likelihood
- dirichlet distribution
- unsupervised learning
- parameter estimation
- single view
- expectation maximization
- probability density function
- lung nodules
- sample size
- machine learning
- language model
- three dimensional
- feature selection
- clustering algorithm