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Crowdsourcing to evaluate fundus photographs for the presence of glaucoma
PURPOSE: To assess the accuracy of crowdsourcing for grading optic nerve images for glaucoma using Amazon Mechanical Turk (AMT) before and after training modules. METHODS: Images (n=60) from two large population studies were graded for glaucoma status and vertical cup-to-disc ratio (VCDR). In the ba...
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| Publicado no: | J Glaucoma |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5453824/ https://ncbi.nlm.nih.gov/pubmed/28319525 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/IJG.0000000000000660 |
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