Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models.
Kanchan PoudelManish DhakalPrasiddha BhandariRabin AdhikariSafal ThapaliyaBishesh KhanalPublished in: CoRR (2023)
Keyphrases
- transfer learning
- language model
- medical image segmentation
- medical images
- language modeling
- knowledge transfer
- machine learning
- cross domain
- probabilistic model
- medical image analysis
- computer vision
- reinforcement learning
- curve evolution
- transfer knowledge
- query expansion
- labeled data
- level set method
- information retrieval
- statistical shape model
- image segmentation
- active learning
- learning algorithm
- structure learning
- medical imaging
- collaborative filtering
- text categorization
- context sensitive
- retrieval model
- text classification
- cross lingual
- machine learning algorithms
- semi supervised learning
- text mining
- image processing
- deformable models
- level set
- training set
- training data