Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography

Objectives:To evaluate the performance of convolutional neural network (CNN) architectures to distinguish eyes with glaucoma from normal eyes.Materials and Methods:A total of 9,950 fundus photographs of 5,388 patients from the database of Eskişehir Osmangazi University Faculty of Medicine Ophthalmol...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Eray Atalay, Onur Özalp, Özer Can Devecioğlu, Hakika Erdoğan, Türker İnce, Nilgün Yıldırım
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Turkish Ophthalmology Society 2022-06-01
Colecção:	Türk Oftalmoloji Dergisi
Assuntos:	glaucoma convolutional neural network artificial intelligence telemedicine
Acesso em linha:	http://www.oftalmoloji.org/archives/archive-detail/article-preview/nvestigation-of-the-role-of-convolutional-neural-n/52336
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!