Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression.
Mohammad Sadegh NasrAmir HajighasemiPaul KoomeyParisa Boodaghi MalidarrehMichael RobbenJillur Rahman SauravHelen H. ShangManfred HuberJacob M. LuberPublished in: CoRR (2023)
Keyphrases
- latent space
- clinically relevant
- image compression
- tissue samples
- low dimensional
- latent variables
- gaussian process
- dimensionality reduction
- parameter space
- feature space
- generative model
- gaussian processes
- lower dimensional
- matrix factorization
- manifold learning
- high dimensional
- gaussian process latent variable models
- wavelet transform
- probabilistic latent semantic analysis
- image processing
- image segmentation
- transfer learning
- high dimensional data
- distance metric
- gaussian mixture
- microarray
- negative matrix factorization
- model selection
- probabilistic model
- face recognition
- euclidean distance
- random variables
- latent dirichlet allocation
- regression model
- high dimensional spaces
- em algorithm
- graphical models
- prior knowledge