Synthetic chest X-ray images from text prompts: Machine learning
Research output: Contribution to journal › Comment/Debate › Contributed › peer-review
Contributors
Abstract
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.
Details
| Original language | English |
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| Pages (from-to) | 439-440 |
| Number of pages | 2 |
| Journal | Nature biomedical engineering |
| Volume | 9 |
| Issue number | 4 |
| Early online date | 7 Oct 2024 |
| Publication status | Published - Apr 2025 |
| Peer-reviewed | Yes |
External IDs
| ORCID | /0000-0002-3730-5348/work/198594623 |
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