Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI

Abstract Background To compare denoising diffusion probabilistic models (DDPM) and generative adversarial networks (GAN) for recovering contrast-enhanced breast magnetic resonance imaging (MRI) subtraction images from virtual low-dose subtraction images. Methods Retrospective, ethically approved stu...

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Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Gustav Müller-Franzes, Luisa Huck, Maike Bode, Sven Nebelung, Christiane Kuhl, Daniel Truhn, Teresa Lemainque
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: SpringerOpen 2024-05-01
Sraith:European Radiology Experimental
Ábhair:
Rochtain ar líne:https://doi.org/10.1186/s41747-024-00451-3