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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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Asıl Yazarlar: Eray Atalay, Onur Özalp, Özer Can Devecioğlu, Hakika Erdoğan, Türker İnce, Nilgün Yıldırım
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Turkish Ophthalmology Society 2022-06-01
Seri Bilgileri:Türk Oftalmoloji Dergisi
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Online Erişim: http://www.oftalmoloji.org/archives/archive-detail/article-preview/nvestigation-of-the-role-of-convolutional-neural-n/52336
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