Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.
Shota HaradaRyoma BiseKengo ArakiAkihiko YoshizawaKazuhiro TeradaMariyo KurataNaoki NakajimaHiroyuki AbeTetsuo UshikuSeiichi UchidaPublished in: ISBI (2023)
Keyphrases
- domain adaptation
- semi supervised
- image classification
- labeled data
- semi supervised learning
- unlabeled data
- pairwise
- co training
- image representation
- bag of words
- active learning
- clustering algorithm
- multi view
- image features
- unsupervised learning
- feature extraction
- data points
- labeled and unlabeled data
- supervised learning
- sparse representation
- test data
- target domain
- machine learning
- label information
- text mining
- class labels
- object recognition
- multi label
- sentiment classification