LSAE: Autoencoder Latent Space for Dimensionality Reduction-Based Approach for COVID-19 Classification and Detection Task Using Chest X-ray.
Younes BouchlaghemYassine AkhiatKaouthar TouchantiSouad AmjadPublished in: Oper. Res. Forum (2023)
Keyphrases
- x ray
- dimensionality reduction
- latent space
- chest radiographs
- x ray images
- high dimensionality
- medical imaging
- pattern recognition
- feature space
- low dimensional
- digital x ray images
- lower dimensional
- feature selection
- high dimensional data
- feature extraction
- three dimensional
- high dimensional
- intraoperative
- manifold learning
- lung nodules
- support vector
- random projections
- image classification
- feature vectors
- dimension reduction
- machine learning
- model selection
- principal component analysis
- text classification
- gaussian process
- object recognition
- latent variables
- low dose