Transfer learning for medical image classification: a literature review.
Hee E. KimAlejandro Cosa-LinanNandhini SanthanamMahboubeh JannesariMáté E. MarosThomas GanslandtPublished in: BMC Medical Imaging (2022)
Keyphrases
- literature review
- transfer learning
- image classification
- learning tasks
- case study
- cross domain
- labeled data
- semi supervised learning
- text classification
- multi task learning
- feature extraction
- machine learning
- domain adaptation
- knowledge transfer
- learning algorithm
- current issues
- image features
- transfer knowledge
- transferring knowledge
- multi task
- collaborative filtering
- active learning
- reinforcement learning
- manifold alignment
- text categorization
- text mining
- unlabeled data
- machine learning algorithms
- semi supervised
- databases
- unsupervised learning
- real world
- information retrieval
- previously learned
- computer vision
- face recognition
- target domain
- feature vectors