Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning.
Hong ShangZhongqian SunWei YangXinghui FuHan ZhengJia ChangJunzhou HuangPublished in: MICCAI (5) (2019)
Keyphrases
- semi supervised learning
- medical imaging
- multi task
- transfer learning
- supervised learning
- learning problems
- labeled data
- learning tasks
- semi supervised
- unsupervised learning
- multi task learning
- co training
- unlabeled data
- medical images
- labeled and unlabeled data
- machine learning
- multiple kernel learning
- x ray
- metric learning
- class labels
- image analysis
- image registration
- text classification
- pattern recognition
- active learning
- image segmentation
- training data
- remote sensing
- decision trees
- learning algorithm
- classification models
- machine learning algorithms
- text categorization
- classification accuracy
- learning models
- feature selection
- support vector
- gaussian processes
- training set
- image classification
- computer vision
- model selection
- prior knowledge
- neural network
- naive bayes
- feature space
- pairwise
- feature set
- support vector machine