Deep learning from “passive feeding” to “selective eating” of real-world data
Abstract Artificial intelligence (AI) based on deep learning has shown excellent diagnostic performance in detecting various diseases with good-quality clinical images. Recently, AI diagnostic systems developed from ultra-widefield fundus (UWF) images have become popular standard-of-care tools in sc...
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| Автори: | , , , , , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2020-10-01
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| Серія: | npj Digital Medicine |
| Онлайн доступ: | https://doi.org/10.1038/s41746-020-00350-y |
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