Class Activation Maps for the disentanglement and occlusion of identity attributes in medical imagery
Author:
Affiliation:
1. Paris Lodron University of Salzburg,Department of Computer Science,Salzburg,Austria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9926747/9926739/09926856.pdf?arnumber=9926856
Reference25 articles.
1. AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data
2. Selective Feature Anonymization for Privacy-Preserving Image Data Publishing
3. A deep learning approach to private data sharing of medical images using conditional gans;sun;ArXiv Preprint,2021
4. Generative Adversarial Networks for Anonymized Healthcare of Lung Cancer Patients
5. Low-effort re-identification techniques based on medical imagery threaten patient privacy;martínez esmeral;26th International Conference on Medical Image Understanding and Analysis,0
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