Automated image curation in diabetic retinopathy screening using deep learning

Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually. We developed and validated single and multi-output laterality, retinal presence, retinal field and gr...

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Detalles Bibliográficos
Autores principales: Nderitu, Paul, Nunez do Rio, Joan M., Webster, Ms Laura, Mann, Samantha S., Hopkins, David, Cardoso, M. Jorge, Modat, Marc, Bergeles, Christos, Jackson, Timothy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249740/
https://www.ncbi.nlm.nih.gov/pubmed/35778615
http://dx.doi.org/10.1038/s41598-022-15491-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249740/
https://www.ncbi.nlm.nih.gov/pubmed/35778615
http://dx.doi.org/10.1038/s41598-022-15491-1

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