Multimodal Retinal Image Analysis via Deep Learning for the Diagnosis of Intermediate Dry Age-Related Macular Degeneration: A Feasibility Study

RESULTS: The CNN trained using OCT alone showed a diagnostic accuracy of 94%, whilst the OCT-A trained CNN resulted in an accuracy of 91%. When multiple modalities were combined, the CNN accuracy increased to 96% in the AMD cohort. CONCLUSIONS: Here we demonstrate that superior diagnostic accuracy c...

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Detalles Bibliográficos
Autores principales: Vaghefi, Ehsan, Hill, Sophie, Kersten, Hannah M., Squirrell, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201607/
https://www.ncbi.nlm.nih.gov/pubmed/32411434
http://dx.doi.org/10.1155/2020/7493419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201607/
https://www.ncbi.nlm.nih.gov/pubmed/32411434
http://dx.doi.org/10.1155/2020/7493419

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