A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Although generative adversarial networks (GANs) can produce large datasets, their limited diversity and fidelity have been recently addressed by denoising diffusion probabilistic models, which have demonstrated superiority in natural image synthesis. In this study, we introduce Medfusion, a conditio...

Descripción completa

Detalles Bibliográficos
Autores principales: Müller-Franzes, Gustav, Niehues, Jan Moritz, Khader, Firas, Arasteh, Soroosh Tayebi, Haarburger, Christoph, Kuhl, Christiane, Wang, Tianci, Han, Tianyu, Nolte, Teresa, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372018/
https://www.ncbi.nlm.nih.gov/pubmed/37495660
http://dx.doi.org/10.1038/s41598-023-39278-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372018/
https://www.ncbi.nlm.nih.gov/pubmed/37495660
http://dx.doi.org/10.1038/s41598-023-39278-0

Ejemplares similares