Semi-supervised medical image segmentation based on GAN with the pyramid attention mechanism and transfer learning.
Guoqin LiJin WangYanli TanLingyun ShenDongli JiaoQuan ZhangPublished in: Multim. Tools Appl. (2024)
Keyphrases
- medical image segmentation
- transfer learning
- attention mechanism
- semi supervised
- labeled data
- semi supervised learning
- unlabeled data
- medical images
- visual attention
- active learning
- saliency map
- pairwise
- unsupervised learning
- input image
- level set method
- curve evolution
- cross domain
- image segmentation
- multiresolution
- labeled and unlabeled data
- scale space
- supervised learning
- medical image analysis
- multiscale
- medical imaging
- statistical shape model
- text classification
- multi view
- eye tracking
- reinforcement learning
- text categorization
- image representation
- machine learning
- learning algorithm
- target domain
- vision system
- deformable models
- video frames
- eye movements
- markov random field
- training data
- data points
- information retrieval