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Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm
In this paper, we propose a novel classification model for automatically identifying individuals with age-related macular degeneration (AMD) or Diabetic Macular Edema (DME) using retinal features from Spectral Domain Optical Coherence Tomography (SD-OCT) images. Our classification method uses retina...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5986153/ https://ncbi.nlm.nih.gov/pubmed/29864167 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0198281 |
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