Deep learning model for automatic differentiation of EMAP from AMD in macular atrophy

To create a deep learning (DL) classifier pre-trained on fundus autofluorescence (FAF) images that can assist the clinician in distinguishing age-related geographic atrophy from extensive macular atrophy and pseudodrusen-like appearance (EMAP). Patients with complete outer retinal and retinal pigmen...

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Detalles Bibliográficos
Autores principales: Chouraqui, Maxime, Crincoli, Emanuele, Miere, Alexandra, Meunier, Isabelle Anne, Souied, Eric H.
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/PMC10663469/
https://www.ncbi.nlm.nih.gov/pubmed/37990107
http://dx.doi.org/10.1038/s41598-023-47854-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663469/
https://www.ncbi.nlm.nih.gov/pubmed/37990107
http://dx.doi.org/10.1038/s41598-023-47854-7

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