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Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
AIM: To compare the effectiveness of two well described machine learning modalities, ocular coherence tomography (OCT) and fundal photography, in terms of diagnostic accuracy in the screening and diagnosis of glaucoma. METHODS: A systematic search of Embase and PubMed databases was undertaken up to...
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| Vydáno v: | Int J Ophthalmol |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
International Journal of Ophthalmology Press
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6942952/ https://ncbi.nlm.nih.gov/pubmed/31956584 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18240/ijo.2020.01.22 |
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