Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy.
YuanKe PanJinxin ZhuBingding HuangPublished in: FLARE@MICCAI (2022)
Keyphrases
- semi supervised
- image segmentation
- supervised learning
- labeled data
- unlabeled data
- semi supervised learning
- training examples
- fully labeled
- active learning
- unsupervised learning
- labeled examples
- training set
- training process
- unlabeled training data
- labeled and unlabeled data
- training data
- training samples
- automatic segmentation
- medical images
- level set method
- class labels
- region growing
- co training
- active contours
- segmentation algorithm
- partially labeled
- supervised methods
- medical image segmentation
- neural network
- anatomical structures
- fully automatic
- medical imaging
- expectation maximization
- level set
- pairwise
- multiscale
- image processing
- labeling effort
- abdominal organs
- ground truth labels
- label information
- pairwise constraints
- shape prior
- spectral clustering
- deformable models
- segmentation method
- graph cuts
- text classification
- markov random field
- prior knowledge
- machine learning