Representation and Reconstruction of Image-Based Structural Patterns of Glaucomatous Defects Using only Two Latent Variables from a Variational Autoencoder.
Jui-Kai WangRandy H. KardonMona Kathryn GarvinPublished in: OMIA@MICCAI (2021)
Keyphrases
- latent variables
- structural patterns
- latent space
- probabilistic model
- random variables
- latent variable models
- variational approximation
- prior knowledge
- topic models
- approximate inference
- observed variables
- image segmentation
- high dimensional
- hidden variables
- gaussian process
- application domains
- association rules
- learning algorithm