Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images.
Jian SongSihang ZhuLanfen LinHongjie HuYen-Wei ChenPublished in: ICNC-FSKD (2019)
Keyphrases
- ct images
- subspace learning
- lung nodules
- computer aided detection
- ct scans
- computed tomography
- dimensionality reduction
- medical images
- pulmonary nodules
- medical imaging
- data representation
- pet images
- manifold learning
- feature space
- pattern recognition
- liver segmentation
- principal component analysis
- semi supervised
- sparse representation
- computer tomography
- low dimensional
- imaging modalities
- treatment planning
- computer aided diagnosis
- face recognition
- high dimensional data
- subspace learning algorithm
- machine learning
- sparse coding
- region of interest
- support vector machine
- training set
- image segmentation
- unsupervised learning
- feature vectors
- support vector
- feature extraction
- learning algorithm