Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images.
Zhijian YangJunhao WenChristos DavatzikosPublished in: CoRR (2020)
Keyphrases
- medical images
- semi supervised clustering
- brain images
- clinical applications
- semi supervised
- magnetic resonance
- medical image analysis
- anatomical structures
- magnetic resonance imaging
- medical imaging
- pairwise constraints
- unsupervised clustering
- mr images
- imaging modalities
- magnetic resonance images
- ct images
- semi supervised learning
- metric learning
- computer aided diagnosis
- nonnegative matrix factorization
- background knowledge
- semi supervised classification
- labeled data
- k means
- computer vision
- feature selection
- human brain
- text categorization
- distance measure
- supervised learning
- feature extraction