Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder.
Hassan MuhammadCarlie S. SigelGabriele CampanellaThomas BörnerLinda M. PakStefan BüttnerJan N. M. IJzermansBas Groot KoerkampMichael DoukasWilliam R. JarnaginAmber L. SimpsonThomas J. FuchsPublished in: MICCAI (1) (2019)
Keyphrases
- unsupervised learning
- deep learning
- restricted boltzmann machine
- deep belief networks
- unsupervised classification
- clustering algorithm
- information bottleneck
- k means
- data clustering
- unsupervised feature selection
- hierarchical clustering
- deep architectures
- unsupervised clustering
- unsupervised manner
- cluster validation
- document clustering
- cluster analysis
- clustering method
- information theoretic
- sparse coding
- supervised classification
- minimum message length
- agglomerative clustering
- neural network
- completely unsupervised
- unsupervised feature learning
- fuzzy clustering
- conditional random fields
- self organizing maps
- anomaly detection
- semi supervised
- spectral clustering
- distance metric
- high dimensional data
- expectation maximization
- data driven
- higher order
- image segmentation