A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders

The quality of ocular fundus photographs can affect the accuracy of the morphologic assessment of the optic nerve head (ONH), either by humans or by deep learning systems (DLS). In order to automatically identify ONH photographs of optimal quality, we have developed, trained, and tested a DLS, using...

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Detalles Bibliográficos
Autores principales: Chan, Ebenezer, Tang, Zhiqun, Najjar, Raymond P., Narayanaswamy, Arun, Sathianvichitr, Kanchalika, Newman, Nancy J., Biousse, Valérie, Milea, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818957/
https://www.ncbi.nlm.nih.gov/pubmed/36611452
http://dx.doi.org/10.3390/diagnostics13010160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818957/
https://www.ncbi.nlm.nih.gov/pubmed/36611452
http://dx.doi.org/10.3390/diagnostics13010160

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