Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features.
Diana Marcela Marín CastrillónPierre FontaineKhemara GnepRenaud de CrevoisierGloria DíazOscar AcostaPublished in: BIBE (2019)
Keyphrases
- multiple kernel learning
- prostate cancer
- linear combination
- mr images
- feature vectors
- feature selection
- prediction accuracy
- feature extraction
- computer aided
- medical images
- medical image analysis
- high resolution
- semi supervised learning
- radiation therapy
- kernel methods
- multiple features
- kernel function
- binary classification
- learning models
- learning problems
- neural network
- feature space
- similarity measure
- computer vision
- data mining