Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma

PURPOSE: To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundus images, (3) distinction between right eye (OD)...

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Detalles Bibliográficos
Autores principales: Zapata, Miguel Angel, Royo-Fibla, Dídac, Font, Octavi, Vela, José Ignacio, Marcantonio, Ivanna, Moya-Sánchez, Eduardo Ulises, Sánchez-Pérez, Abraham, Garcia-Gasulla, Darío, Cortés, Ulises, Ayguadé, Eduard, Labarta, Jesus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025650/
https://www.ncbi.nlm.nih.gov/pubmed/32103888
http://dx.doi.org/10.2147/OPTH.S235751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025650/
https://www.ncbi.nlm.nih.gov/pubmed/32103888
http://dx.doi.org/10.2147/OPTH.S235751

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