Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models.
Kimmo KärkkäinenShayan FazeliMajid SarrafzadehPublished in: CoRR (2021)
Keyphrases
- mixture model
- unsupervised learning
- gaussian mixture model
- em algorithm
- bayesian information criterion
- finite mixture model
- generative model
- density estimation
- expectation maximization
- probabilistic model
- level set
- model selection
- maximum likelihood
- language model
- brain tumors
- image segmentation
- segmentation method
- segmentation algorithm
- supervised learning
- mixture modeling
- finite mixtures
- medical imaging
- background subtraction
- probability density function
- data sets
- cerebrospinal fluid
- traumatic brain injury
- medical images
- semi supervised
- unsupervised segmentation
- object recognition