Denoising diffusion probabilistic models for 3D medical image generation

Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models have generated realistic images from textual input, as demonstrated by DALL-E 2, Imagen, and Stable Diffusion. However, their use in medicine, where imaging data typically comprises th...

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Detalles Bibliográficos
Autores principales: Khader, Firas, Müller-Franzes, Gustav, Tayebi Arasteh, Soroosh, Han, Tianyu, Haarburger, Christoph, Schulze-Hagen, Maximilian, Schad, Philipp, Engelhardt, Sandy, Baeßler, Bettina, Foersch, Sebastian, Stegmaier, Johannes, Kuhl, Christiane, 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/PMC10163245/
https://www.ncbi.nlm.nih.gov/pubmed/37147413
http://dx.doi.org/10.1038/s41598-023-34341-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163245/
https://www.ncbi.nlm.nih.gov/pubmed/37147413
http://dx.doi.org/10.1038/s41598-023-34341-2

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