WD-UNeXt: Weight loss function and dropout U-Net with ConvNeXt for automatic segmentation of few shot brain gliomas.
Ziming YinHongyu GaoJinchang GongYuanjun WangPublished in: IET Image Process. (2023)
Keyphrases
- automatic segmentation
- loss function
- brain tissue
- manual segmentation
- accurate segmentation
- mri scans
- automatically segmenting
- pairwise
- segmentation algorithm
- semi automatic segmentation
- ct data
- learning to rank
- weight vector
- support vector
- logistic regression
- empirical risk
- risk minimization
- computed tomography images
- video sequences
- regularization term
- reproducing kernel hilbert space
- mri data
- similarity measure
- boosting framework
- brain tumors
- image data
- diffusion tensor imaging
- image processing
- solution path
- ground truth
- computer vision
- machine learning