A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics.
Tobias HaueiseAnnika LiebgottBin YangPublished in: EMBC (2022)
Keyphrases
- deep learning
- unsupervised learning
- feature selection
- deep architectures
- machine learning
- weakly supervised
- unsupervised feature learning
- deep belief networks
- restricted boltzmann machine
- supervised learning
- multi class
- text classification
- semi supervised
- object recognition
- dimensionality reduction
- principal component analysis
- named entities
- support vector
- feature extraction
- computer vision
- information retrieval