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Heidelberg Retina Tomograph 3 machine learning classifiers for glaucoma detection
AIMS: To assess performance of classifiers trained on Heidelberg Retina Tomograph 3 (HRT3) parameters for discriminating between healthy and glaucomatous eyes. METHODS: Classifiers were trained using HRT3 parameters from 60 healthy subjects and 140 glaucomatous subjects. The classifiers were trained...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2916743/ https://ncbi.nlm.nih.gov/pubmed/18523087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bjo.2007.133074 |
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