Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks.
Zishun FengDong NieLi WangDinggang ShenPublished in: ISBI (2018)
Keyphrases
- semi supervised learning
- multi task
- learning problems
- transfer learning
- image segmentation
- multi task learning
- semi supervised
- unlabeled data
- labeled data
- learning tasks
- supervised learning
- metric learning
- unsupervised learning
- machine learning
- learning models
- gaussian processes
- labeled and unlabeled data
- multiple kernel learning
- multi class
- active learning
- text categorization
- training data
- medical images
- graph cuts
- computer vision
- image processing
- image registration
- learning algorithm
- learning experience
- feature selection
- data mining
- markov random field
- reinforcement learning
- high dimensional
- complex networks
- feature vectors
- data points