DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification

Recent developments in deep learning have impacted medical science. However, new privacy issues and regulatory frameworks have hindered medical data sharing and collection. Deep learning is a very data-intensive process for which such regulatory limitations limit the potential for new breakthroughs...

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Detalles Bibliográficos
Autores principales: Prezja, Fabi, Paloneva, Juha, Pölönen, Ilkka, Niinimäki, Esko, Äyrämö, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633706/
https://www.ncbi.nlm.nih.gov/pubmed/36329253
http://dx.doi.org/10.1038/s41598-022-23081-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633706/
https://www.ncbi.nlm.nih.gov/pubmed/36329253
http://dx.doi.org/10.1038/s41598-022-23081-4

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