How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?
Gregory HolsteZiyu JiangAjay JaiswalMaria HannaShlomo MinkowitzAlan C. LegastoJoanna G. EscalonSharon SteinbergerMark BittmanThomas C. ShenYing DingRonald M. SummersGeorge ShihYifan PengZhangyang WangPublished in: MICCAI (5) (2023)
Keyphrases
- medical images
- multi label
- multi label classification
- class labels
- text categorization
- image annotation
- medical imaging
- image classification
- binary classification
- graph cuts
- training data
- multi label learning
- hierarchical text categorization
- naive bayes
- classification algorithm
- binary classifiers
- learning tasks
- text classification
- decision trees
- medical image retrieval
- feature selection
- automatic image annotation
- semi supervised learning
- svm classifier
- support vector
- image representation
- cost sensitive
- knn
- neural network
- multi modal
- training set
- image segmentation
- image processing
- computer vision
- machine learning