Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis.
Martin Saint-JalmesVictor FedyashovDaniel BeckTimothy BaldwinNoel G. FauxPierrick BourgeatJurgen FrippColin L. MastersBenjamin GoudeyPublished in: NeuroImage (2023)
Keyphrases
- disease progression
- principal components analysis
- cross sectional
- prostate cancer
- magnetic resonance images
- clinical trials
- breast cancer
- mathematical modeling
- dimensionality reduction
- covariance matrix
- principal components
- linear discriminant analysis
- feature extraction
- machine learning
- computer aided diagnosis
- image analysis
- bayesian networks
- k nearest neighbor
- support vector machine
- neural network
- mr images
- decision support system
- white matter
- image data
- training set
- face recognition
- image processing