Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.
Sima Sarv AhrabiLorenzo PiazzoAlireza MomenzadehMichele ScarpinitiEnzo BaccarelliPublished in: J. Supercomput. (2022)
Keyphrases
- probability density function
- ct scans
- latent space
- gaussian mixture
- low dimensional
- probability distribution
- x ray
- ct images
- density estimation
- expectation maximization
- bayesian framework
- mixture model
- region of interest
- latent variables
- gaussian mixture model
- computed tomography
- computer aided diagnosis
- statistical methods
- em algorithm
- feature space
- transfer learning
- prior knowledge
- manifold learning
- high dimensional
- three dimensional
- distance metric
- data sets
- distance function
- principal component analysis
- image segmentation
- image processing
- feature selection