Information Gain Sampling for Active Learning in Medical Image Classification.
Raghav MehtaChangjian ShuiBrennan NichyporukTal ArbelPublished in: UNSURE@MICCAI (2022)
Keyphrases
- information gain
- image classification
- active learning
- random sampling
- text categorization
- mutual information
- decision trees
- feature selection
- chi squared
- chi square
- feature extraction
- image representation
- bag of words
- gain ratio
- machine learning
- occurrence frequency
- relevance feedback
- semi supervised
- unlabeled data
- image features
- correlation coefficient
- learning process
- supervised learning
- learning algorithm
- naive bayes
- sample size
- svm classifier
- training set
- class imbalance
- sampling methods
- labeled data
- information extraction
- support vector
- semi supervised learning
- data sets
- occurrence probabilities
- correlation based feature selection