Cooperation of Boundary Attention and Negative Matrix L1 Regularization Loss Function for Polyp Segmentation.
Guoqi LiuManqi ZhaoLu BaiZhengnan GuoPublished in: ICPR (2022)
Keyphrases
- loss function
- regularization term
- risk minimization
- reproducing kernel hilbert space
- hinge loss
- stochastic gradient descent
- solution path
- convex loss functions
- pairwise
- learning to rank
- support vector
- gradient boosting
- segmentation algorithm
- image segmentation
- segmentation method
- region growing
- mumford shah
- medical images
- empirical risk
- bregman divergences
- boosting framework
- prior information
- shape prior
- level set
- image denoising
- machine learning