A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis.
Amine Ben SlamaAymen MouelhiHanene SahliSondes ManoubiChiraz MbarekHedi TrabelsiFarhat FnaiechMounir SayadiPublished in: Artif. Intell. Medicine (2017)
Keyphrases
- parameter estimation
- active contour model
- preprocessing
- active contours
- minimal path
- maximum likelihood
- least squares
- markov random field
- model selection
- parameter estimation algorithm
- expectation maximization
- em algorithm
- statistical models
- energy minimization
- segmentation method
- model fitting
- region growing
- gradient vector flow
- random fields
- curve evolution
- feature extraction
- endpoints
- estimation problems
- level set method
- snake model
- texture segmentation
- fully automatic
- multiscale
- data mining
- split bregman method
- shape prior
- similarity measure
- machine learning