Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners.
Rui XuZhen CongXinchen YeShoji KidoNoriyuki TomiyamaPublished in: ICASSP (2020)
Keyphrases
- supervised learning
- decision trees
- machine learning
- unsupervised learning
- ct scans
- supervised classification
- classification accuracy
- pattern recognition
- image classification
- thoracic ct images
- feature extraction
- text classification
- ct images
- support vector
- unsupervised classification
- feature selection
- partially supervised
- support vector machine svm
- metadata
- networked data
- social networks
- network structure
- x ray
- neural network
- multimedia
- support vector machine
- computer graphics
- unstructured peer to peer
- complex networks
- training set
- training data