Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation.
Hai Siong TanKuancheng WangRafe McBethPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- hybrid models
- active learning
- random sampling
- hybrid model
- image segmentation
- biomedical image analysis
- segmentation algorithm
- level set
- biomedical images
- machine learning
- medical images
- neural network
- training set
- sample size
- semi supervised
- sample selection
- learning algorithm
- supervised learning
- labeled data
- linear combination
- training examples
- input output
- feed forward neural networks
- sampling methods