Privacy mechanisms and evaluation metrics for Synthetic Data Generation: A systematic review
The growth of data publishing, sharing, and mining mechanisms in various fields of industry
and science has led to an increase in the flow of data, making it an important asset that …
and science has led to an increase in the flow of data, making it an important asset that …
Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation
Background: Data sharing in healthcare is vital for advancing research and personalized
medicine. However, the process is hindered by privacy, ethical, and legal challenges …
medicine. However, the process is hindered by privacy, ethical, and legal challenges …
Synthetic data in generalizable, learning-based neuroimaging
Synthetic data have emerged as an attractive option for develo** machine-learning
methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)—a …
methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)—a …
[HTML][HTML] An Extensive Study and Review of Privacy Preservation Models for the Multi-Institutional Data
The deep learning models hold considerable potential for clinical applications, but there are
many challenges to successfully training deep learning models. Large-scale data collection …
many challenges to successfully training deep learning models. Large-scale data collection …