Eye Disease Detection and Classification Optimization Using EfficientNet-B5 with Emphasis on Data Augmentation and Fine-Tuning

Eye diseases such as glaucoma, cataract, and diabetic retinopathy pose significant global health challenges, underscoring the need for accurate and efficient diagnostic systems. This study employed the EfficientNet-B5 model to enhance the detection and classification of eye diseases by incorporating...

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Autori principali:	Anggi Muhammad Rifai, Muhammad Fatchan, Ahmad Turmudi Zy, Donny Maulana, Sufajar Butsianto
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Ikatan Ahli Informatika Indonesia 2025-10-01
Serie:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Soggetti:	automated diagnosis data augmentation efficientnet-b5 eye disease detection fine-tuning
Accesso online:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/6519
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