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Optical Coherence Tomography Machine Learning Classifiers for Glaucoma Detection: A Preliminary Study
PURPOSE: Machine-learning classifiers are trained computerized systems with the ability to detect the relationship between multiple input parameters and a diagnosis. The present study investigated whether the use of machine-learning classifiers improves optical coherence tomography (OCT) glaucoma de...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2005
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1941765/ https://ncbi.nlm.nih.gov/pubmed/16249492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.05-0366 |
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