Differentiation of Diabetic Status Using Statistical and Machine Learning Techniques on Optical Coherence Tomography Angiography Images

PURPOSE: To investigate the potential of statistical and machine learning approaches to determine the diabetic status of patients from optical coherence tomography angiography (OCT-A) images. METHODS: This was a retrospective cross-sectional observational study based at Manchester Royal Eye Hospital...

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Detalles Bibliográficos
Autores principales: Aslam, Tariq Mehmood, Hoyle, David Charles, Puri, Vikram, Bento, Goncalo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396193/
https://www.ncbi.nlm.nih.gov/pubmed/32818090
http://dx.doi.org/10.1167/tvst.9.4.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396193/
https://www.ncbi.nlm.nih.gov/pubmed/32818090
http://dx.doi.org/10.1167/tvst.9.4.2

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