Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy
We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect treatment-naïve proliferative diabetic retinopathy (PDR).We conducted training with the DCNN using 378 photographic images (132 PDR and 246 non-PDR)...
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| Hlavní autoři: | , , , , , , , , |
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| Médium: | Carta |
| Jazyk: | angličtina |
| Vydáno: |
2019
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| On-line přístup: | https://doi.org/10.1007/s10792-019-01074-z https://link.springer.com/content/pdf/10.1007/s10792-019-01074-z.pdf |
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