Classification of diabetic retinopathy using ensemble convolutional neural network architectures

Background Diabetic retinopathy (DR) constitutes a primary cause of blindness across all age groups. Ophthalmologists examine fundus images (FI) to detect and classify stages of DR. Development of deep learning can help clinicians to attain a larger volume in screening and diagnosing diabetic reti...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Kevin Hendrawan, Ariesanti Tri Handayani, Ari Andayani, Ernawati Titiek, Agustinus Bimo Gumelar
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Faculty of Medicine Trisakti University 2024-07-01
Schriftenreihe:	Universa Medicina
Schlagworte:	Diabetic retinopathy deep learning convolutional neural networks early detection
Online-Zugang:	https://univmed.org/ejurnal/index.php/medicina/article/view/1583
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