Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models
Abstract Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are trained on images from multiple video processors, whereas clinical environments typically rely on a single processor. We developed EndoStyle, a...
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| Автори: | , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2026-04-01
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| Серія: | npj Digital Medicine |
| Онлайн доступ: | https://doi.org/10.1038/s41746-026-02693-4 |
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