Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models.
Kimmo KärkkäinenShayan FazeliMajid SarrafzadehPublished in: ICHI (2021)
Keyphrases
- mixture model
- unsupervised learning
- gaussian mixture model
- em algorithm
- generative model
- finite mixture model
- density estimation
- probabilistic model
- image segmentation
- expectation maximization
- level set
- model selection
- language model
- segmentation method
- probability density function
- bayesian information criterion
- segmentation algorithm
- maximum likelihood
- automatic model selection
- finite mixtures
- semi supervised
- object segmentation
- pixel level
- medical images
- supervised learning
- background subtraction
- brain tumors
- mixture modeling
- finite mixture models
- ct images
- active learning
- model based clustering
- face recognition
- cerebrospinal fluid
- computer vision