A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs)

Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of questions to be addressed and thereby leading to greater understanding and innovation. However, sharing biomedical data can put sensitive personal information at risk. This is usually addressed by data...

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Detalles Bibliográficos
Autores principales: Sun, Hanxi, Plawinski, Jason, Subramaniam, Sajanth, Jamaludin, Amir, Kadir, Timor, Readie, Aimee, Ligozio, Gregory, Ohlssen, David, Baillie, Mark, Coroller, Thibaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325103/
https://www.ncbi.nlm.nih.gov/pubmed/37410795
http://dx.doi.org/10.1371/journal.pone.0280316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325103/
https://www.ncbi.nlm.nih.gov/pubmed/37410795
http://dx.doi.org/10.1371/journal.pone.0280316

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