A novel multi-task semi-supervised medical image segmentation method based on multi-branch cross pseudo supervision.
Yueyue XiaoChunxiao ChenXue FuLiang WangJie YuYuan ZouPublished in: Appl. Intell. (2023)
Keyphrases
- segmentation method
- medical images
- multi task
- semi supervised
- multi task learning
- metric learning
- learning tasks
- labeled data
- transfer learning
- medical imaging
- region growing
- active learning
- image segmentation
- medical image analysis
- deformable models
- region of interest
- multi class
- mr images
- feature selection
- active contours
- semi supervised learning
- active contour model
- supervised learning
- computed tomography
- learning problems
- multi modality
- ct images
- energy function
- magnetic resonance images
- unlabeled data
- imaging modalities
- pairwise
- shape prior
- segmentation algorithm
- object recognition
- information gain
- training set
- learning process
- image processing
- computer vision
- support vector machine