Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.
Zhiqiang ShenPeng CaoHua YangXiaoli LiuJinzhu YangOsmar R. ZaïanePublished in: CoRR (2023)
Keyphrases
- medical image segmentation
- high confidence
- co training
- semi supervised
- class labels
- unlabeled data
- labeled data
- semi supervised learning
- label propagation
- labeled examples
- partially labeled data
- unlabeled samples
- medical images
- small set of labeled
- pairwise
- unlabelled data
- supervised learning
- training examples
- pairwise constraints
- curve evolution
- multi view
- medical image analysis
- semi supervised classification
- association rules
- medical imaging
- active learning
- text classification
- image segmentation
- training data
- semi supervised learning methods
- level set method
- unlabeled instances
- statistical shape model
- labeled and unlabeled data
- single view
- multi label
- unsupervised learning
- generative model
- named entities
- level set
- three dimensional
- learning algorithm
- similarity measure
- support vector
- prior knowledge
- data mining
- training samples