Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer.
George LeeAsha SinganamalliHaibo WangMichael D. FeldmanStephen R. MasterNatalie N. C. ShihElaine SpanglerTimothy R. RebbeckJohn TomaszewskiAnant MadabhushiPublished in: IEEE Trans. Medical Imaging (2015)
Keyphrases
- multi view
- canonical correlation analysis
- prostate cancer
- single view
- semi supervised
- multiple views
- d objects
- three dimensional
- feature extraction
- range images
- mr images
- unsupervised learning
- computer aided
- multi class
- feature set
- least squares
- data mining
- image features
- training set
- object recognition
- learning algorithm
- machine learning