Tumor Growth Modeling: State Estimation with Maximum Likelihood and Particle Filtering.
Spyridon PatmanidisAlexandros C. CharalampidisGeorge P. PapavassilopoulosPublished in: MED (2020)
Keyphrases
- state estimation
- particle filtering
- maximum likelihood
- particle filter
- visual tracking
- dynamic bayesian networks
- kalman filter
- kalman filtering
- object tracking
- human motion
- tumor growth
- dynamic systems
- state space
- em algorithm
- motion model
- gaussian distribution
- computer vision
- mean shift
- complex systems
- parameter estimation
- image registration
- multiscale