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: ISBI (2023)
Keyphrases
- latent space
- clinically relevant
- image compression
- tissue samples
- latent variables
- low dimensional
- gaussian process
- generative model
- lower dimensional
- dimensionality reduction
- manifold learning
- parameter space
- feature space
- gaussian processes
- high dimensional
- matrix factorization
- wavelet transform
- transfer learning
- probabilistic latent semantic analysis
- distance metric
- gaussian process latent variable models
- image segmentation
- microarray
- image processing
- gaussian mixture
- high dimensional spaces
- probabilistic model
- prior knowledge
- random variables
- regression model
- high dimensional data
- semi supervised
- data points
- pairwise