Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.
Shota HaradaRyoma BiseKengo ArakiAkihiko YoshizawaKazuhiro TeradaMariyo Rokutan-KurataNaoki NakajimaHiroyuki AbeTetsuo UshikuSeiichi UchidaPublished in: CoRR (2023)
Keyphrases
- domain adaptation
- semi supervised
- image classification
- labeled data
- semi supervised learning
- unlabeled data
- active learning
- co training
- pairwise
- unsupervised learning
- multi view
- image representation
- supervised learning
- feature extraction
- data points
- bag of words
- clustering algorithm
- multi label
- machine learning
- labeled and unlabeled data
- image features
- transfer learning
- databases
- sparse representation
- general purpose
- test data
- learning process
- data sets