Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function.
Nabila AbrahamNaimul Mefraz KhanPublished in: BrainLes@MICCAI (2) (2019)
Keyphrases
- loss function
- pairwise
- risk minimization
- segmentation algorithm
- support vector
- logistic regression
- learning to rank
- image segmentation
- medical images
- level set
- segmentation method
- empirical risk
- regularization term
- reproducing kernel hilbert space
- energy function
- region growing
- boosting algorithms
- stochastic gradient descent
- boosting framework
- convex loss functions
- convergence rate
- shape prior