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Estimating visual field loss from monoscopic optic disc photography using deep learning model
Visual field assessment is recognized as the important criterion of glaucomatous damage judgement; however, it can show large test–retest variability. We developed a deep learning (DL) algorithm that quantitatively predicts mean deviation (MD) of standard automated perimetry (SAP) from monoscopic op...
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| Vydáno v: | Sci Rep |
|---|---|
| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7712913/ https://ncbi.nlm.nih.gov/pubmed/33273643 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-78144-1 |
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