Detection of Glaucoma on Fundus Images Using Deep Learning on a New Image Set Obtained with a Smartphone and Handheld Ophthalmoscope

Statistics show that an estimated 64 million people worldwide suffer from glaucoma. To aid in the detection of this disease, this paper presents a new public dataset containing eye fundus images that was developed for glaucoma pattern-recognition studies using deep learning (DL). The dataset, denote...

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Detalles Bibliográficos
Autores principales: Bragança, Clerimar Paulo, Torres, José Manuel, Soares, Christophe Pinto de Almeida, Macedo, Luciano Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778370/
https://www.ncbi.nlm.nih.gov/pubmed/36553869
http://dx.doi.org/10.3390/healthcare10122345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778370/
https://www.ncbi.nlm.nih.gov/pubmed/36553869
http://dx.doi.org/10.3390/healthcare10122345

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