Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics

In recent years, generative adversarial networks (GANs) have gained tremendous popularity for potential applications in medical imaging, such as medical image synthesis, restoration, reconstruction, translation, as well as objective image quality assessment. Despite the impressive progress in genera...

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Detalles Bibliográficos
Autores principales: Kelkar, Varun A., Gotsis, Dimitrios S., Brooks, Frank J., KC, Prabhat, Myers, Kyle J., Zeng, Rongping, Anastasio, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314718/
https://www.ncbi.nlm.nih.gov/pubmed/37022374
http://dx.doi.org/10.1109/TMI.2023.3241454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314718/
https://www.ncbi.nlm.nih.gov/pubmed/37022374
http://dx.doi.org/10.1109/TMI.2023.3241454

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