Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities.
Dana MoukheiberSaurabh MahindreLama MoukheiberMira MoukheiberMingchen GaoPublished in: CoRR (2024)
Keyphrases
- x ray
- multi label
- multi label classification
- image classification
- class labels
- x ray images
- text classification
- multi label learning
- intraoperative
- text categorization
- digital x ray images
- medical imaging
- image annotation
- classification accuracy
- classification algorithm
- graph cuts
- binary classification
- decision trees
- low dose
- ct scans
- machine learning
- supervised learning
- lung nodules
- binary classifiers
- multiple labels
- support vector
- feature selection
- cost sensitive
- image segmentation
- feature extraction
- feature set
- feature space
- feature vectors
- text mining