SALW-Net: a lightweight convolutional neural network based on self-adjusting loss function for spine MR image segmentation.
Siyuan HeQi LiXianda LiMengchao ZhangPublished in: Medical Biol. Eng. Comput. (2024)
Keyphrases
- lightweight
- loss function
- image segmentation
- brain image segmentation
- mr imaging
- ct and mr images
- pairwise
- magnetic resonance
- learning to rank
- markov random field
- medical images
- support vector
- risk minimization
- empirical risk
- x ray images
- mr images
- graph cuts
- image processing
- segmentation method
- boosting framework
- medical imaging
- energy function
- segmentation algorithm
- active contours
- network architecture
- x ray
- image registration
- sparse coding
- regularization term
- wireless sensor networks
- convex loss functions
- development environments
- pairwise constraints
- region growing
- learning algorithm