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

Abstract 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...

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Egile Nagusiak:	Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Teresa Nolte, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2023-07-01
Saila:	Scientific Reports
Sarrera elektronikoa:	https://doi.org/10.1038/s41598-023-39278-0
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