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...

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主要な著者:	Eray Atalay, Onur Özalp, Özer Can Devecioğlu, Hakika Erdoğan, Türker İnce, Nilgün Yıldırım
フォーマット:	Artigo
言語:	Inglês
出版事項:	Turkish Ophthalmology Society 2022-06-01
シリーズ:	Türk Oftalmoloji Dergisi
主題:	glaucoma convolutional neural network artificial intelligence telemedicine
オンライン･アクセス:	http://www.oftalmoloji.org/archives/archive-detail/article-preview/nvestigation-of-the-role-of-convolutional-neural-n/52336
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