Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease

PURPOSE: This study describes the initial development of a deep learning algorithm, ROP.AI, to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images. METHODS: ROP.AI was trained using 6974 fundal images from Australasian image databases. Each image was given a diagnos...

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Detalles Bibliográficos
Autores principales: Tan, Zachary, Simkin, Samantha, Lai, Connie, Dai, Shuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892443/
https://www.ncbi.nlm.nih.gov/pubmed/31819832
http://dx.doi.org/10.1167/tvst.8.6.23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892443/
https://www.ncbi.nlm.nih.gov/pubmed/31819832
http://dx.doi.org/10.1167/tvst.8.6.23

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