Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy
Abstract Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges hindering implementation of DR screening. However, our systematic review of the literature reveals few studies studied the impact of diff...
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| Principais autores: | , , , , , , , , , , , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2020-03-01
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| Serier: | npj Digital Medicine |
| Online adgang: | https://doi.org/10.1038/s41746-020-0247-1 |
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