Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy.
Kai PackhäuserSebastian GündelFlorian ThammFelix DenzingerAndreas K. MaierPublished in: CoRR (2022)
Keyphrases
- deep learning
- differential privacy
- chest radiographs
- privacy preserving
- data anonymization
- anonymized data
- privacy protection
- privacy preservation
- information loss
- unsupervised learning
- sensitive attributes
- data publishing
- data privacy
- machine learning
- x ray
- sensitive information
- mental models
- private information
- weakly supervised
- privacy concerns
- viewpoint
- similarity measure
- lung nodules
- object detection
- pairwise
- pattern recognition
- computer vision