Enhancing Multi-Label Long-Tailed Classification on Chest X-Rays through ML-GCN Augmentation.
Hyeryeong SeoMinhyuk LeeWoojin CheongHyekyung YoonSohyung KimMyungjoo KangPublished in: ICCV (Workshops) (2023)
Keyphrases
- x ray
- multi label
- multi label classification
- class labels
- image classification
- text classification
- multi label learning
- x ray images
- chest radiographs
- multi instance
- text categorization
- graph cuts
- maximum likelihood
- binary classification
- image annotation
- medical imaging
- classification accuracy
- protein function prediction
- lung nodules
- multiple labels
- ct scans
- feature selection
- classification algorithm
- three dimensional
- feature vectors
- computer vision
- feature extraction
- training data
- binary classifiers
- multi class
- supervised learning
- cost sensitive
- markov random field
- unsupervised learning
- class imbalance
- training examples
- training set
- object recognition
- ct images
- discrete tomography
- decision trees
- semi supervised learning