Automatic Detection of Abnormalities and Grading of Diabetic Retinopathy in 6-Field Retinal Images: Integration of Segmentation Into Classification

PURPOSE: Classification of diabetic retinopathy (DR) is traditionally based on severity grading, given by the most advanced lesion, but potentially leaving out relevant information for risk stratification. In this study, we aimed to develop a deep learning model able to individually segment seven di...

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Detalles Bibliográficos
Autores principales: Andersen, Jakob K. H., Hubel, Martin S., Rasmussen, Malin L., Grauslund, Jakob, Savarimuthu, Thiusius R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233290/
https://www.ncbi.nlm.nih.gov/pubmed/35731541
http://dx.doi.org/10.1167/tvst.11.6.19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233290/
https://www.ncbi.nlm.nih.gov/pubmed/35731541
http://dx.doi.org/10.1167/tvst.11.6.19

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