Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images
Author:
Affiliation:
1. University of Amsterdam,Multiscale Networked Systems,the Netherlands
2. University of Stavanger,Department of Electrical Engineering and Computer Science,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10224635/10224668/10224683.pdf?arnumber=10224683
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3. Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms
4. Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning
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1. Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education;Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications;2024
2. PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds;Lecture Notes in Computer Science;2024
3. A Literature Survey on Privacy Preserving in Image processing on Cloud;International Journal of Scientific Research in Science and Technology;2023-10-01
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