Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning.
Yannick SuterUrspeter KnechtRoland WiestEkkehard HewerPhilippe SchuchtMauricio ReyesPublished in: MLCN/RNO-AI@MICCAI (2020)
Keyphrases
- feature set
- learning process
- prior knowledge
- feature vectors
- selecting features
- significant features
- learning models
- unsupervised feature learning
- magnetic resonance imaging
- learning algorithm
- supervised learning
- reinforcement learning
- e learning
- medical images
- magnetic resonance images
- deep learning
- single feature
- individual features
- image segmentation
- feature interactions
- predictive features