Using Synthetic Training Data for Deep Learning-Based GBM Segmentation.
Lydia LindnerDominik NarnhoferMaximilian WeberChristina GsaxnerMalgorzata KolodziejJan EggerPublished in: EMBC (2019)
Keyphrases
- deep learning
- training data
- segmentation algorithm
- unsupervised learning
- unsupervised feature learning
- segmentation method
- image segmentation
- medical images
- decision trees
- multiscale
- level set
- mental models
- data sets
- supervised learning
- energy function
- shape prior
- viewpoint
- pattern recognition
- object segmentation
- reinforcement learning
- higher order
- training examples
- prior knowledge
- feature extraction
- computer vision