Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder.
Alexandra-Ioana AlbuAlina EnescuLuigi MalagòPublished in: NLDL (2020)
Keyphrases
- tumor detection
- latent space
- capsule endoscopy
- latent variables
- low dimensional
- magnetic resonance images
- parameter space
- dimensionality reduction
- generative model
- gaussian process
- image segmentation
- pairwise
- lower dimensional
- medical images
- manifold learning
- machine learning
- feature space
- probabilistic latent semantic analysis
- pattern recognition
- narrow band
- feature selection