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

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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Bibliographic Details
Main Authors: Clerimar Paulo Bragança, José Manuel Torres, Christophe Pinto de Almeida Soares, Luciano Oliveira Macedo
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Healthcare
Subjects:
smartphone ophthalmoscope
fundus image dataset
panoptic ophthalmoscope
glaucoma
ensemble CNN
Online Access:https://www.mdpi.com/2227-9032/10/12/2345

Internet

https://www.mdpi.com/2227-9032/10/12/2345

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