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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Autors principals: Townsend, K A, Wollstein, G, Danks, D, Sung, K R, Ishikawa, H, Kagemann, L, Gabriele, M L, Schuman, J S
Format: Artigo
Idioma:Inglês
Publicat: 2008
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Article
Accés en línia: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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