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