A comparative study for chest radiograph image retrieval using binary texture and deep learning classification.
Yaron AnaviIlya KoganElad GelbartOfer GevaHayit GreenspanPublished in: EMBC (2015)
Keyphrases
- deep learning
- x ray
- image retrieval
- unsupervised learning
- feature extraction
- restricted boltzmann machine
- lung nodules
- machine learning
- feature space
- support vector
- x ray images
- image database
- decision trees
- chest radiographs
- feature selection
- unsupervised feature learning
- supervised learning
- image classification
- feature set
- visual features
- relevance feedback
- feature vectors
- pattern recognition
- text classification
- maximum likelihood
- model selection
- image representation
- image content
- support vector machine
- three dimensional