Privacy-Preserving Synthetic Medical Data Generation with Deep Learning
Deep learning models demonstrated good performance in various domains such as ComputerVision and Natural Language Processing. However, the utilization of data-driven methods in healthcare raises privacy concerns, which creates limitations for collaborative research. A remedy to this problem is to ge...
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| Format: | Others |
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Virginia Tech
2020
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| Online Access: | http://hdl.handle.net/10919/99856 |