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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Gepubliceerd in:PLoS One
Hoofdauteurs: Hussain, Md Akter, Bhuiyan, Alauddin, D. Luu, Chi, Theodore Smith, R., H. Guymer, Robyn, Ishikawa, Hiroshi, S. Schuman, Joel, Ramamohanarao, Kotagiri
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Public Library of Science 2018
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Research Article
Online toegang: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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