Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks.
Seyed Sadegh Mohseni SalehiDeniz ErdogmusAli GholipourPublished in: MLMI@MICCAI (2017)
Keyphrases
- loss function
- image segmentation
- support vector
- pairwise
- learning to rank
- deep learning
- logistic regression
- reproducing kernel hilbert space
- empirical risk
- risk minimization
- boosting framework
- hinge loss
- segmentation algorithm
- image processing
- active contours
- regularization term
- graph cuts
- level set
- stochastic gradient descent
- kernel function
- spectral clustering
- sparse coding
- markov random field
- similarity measure
- machine learning