Synthetic chest X-ray images from text prompts
A latent diffusion model pre-trained on pairs of natural images and text descriptors can be adapted to generate realistic chest radiographs that are controlled by free-form medical text prompts.
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
07 October 2024
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| In: |
Nature biomedical engineering
Year: 2025, Jahrgang: 9, Heft: 4, Pages: 439-440 |
| ISSN: | 2157-846X |
| DOI: | 10.1038/s41551-024-01261-z |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41551-024-01261-z Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41551-024-01261-z 
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| Verfasserangaben: | Daniel Truhn, Jakob Nikolas Kather |
MARC
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