OCT-based deep-learning models for the identification of retinal key signs

A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice. Images from the local hospital database were retrospectively selected from 2017...

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Detalles Bibliográficos
Autores principales: Leandro, Inferrera, Lorenzo, Borsatti, Aleksandar, Miladinovic, Dario, Marangoni, Rosa, Giglio, Agostino, Accardo, Daniele, Tognetto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480174/
https://www.ncbi.nlm.nih.gov/pubmed/37670066
http://dx.doi.org/10.1038/s41598-023-41362-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480174/
https://www.ncbi.nlm.nih.gov/pubmed/37670066
http://dx.doi.org/10.1038/s41598-023-41362-4

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