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All Journal Pendidikan Bahasa dan Sastra Indonesia Jurnal Manajemen Pelayanan Publik Pillar of Physics: Jurnal Berkala Ilmiah Fisika Innovative: Journal Of Social Science Research Recursive Journal of Informatics
Vivi Wulandari
Institut Teknologi Sepuluh Nopember (ITS)
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Public Health Social Sciences Transportation Other

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Journal : Recursive Journal of Informatics

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Optimization of the Convolutional Neural Network Method Using Fine-Tuning for Image Classification of Eye Disease Wulandari, Vivi; Putra, Anggyi Trisnawan
Recursive Journal of Informatics Vol 2 No 1 (2024): March 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v2i1.73625

Abstract

The eye is the most important organ of the human body which functions as the sense of sight. Most people wish they had healthy eyes so they could see clearly about life around them. However, some people experience eye health problems. There are many types of eye diseases ranging from mild to severe. With advances in technology, artificial intelligence can be used to classify eye diseases accurately, one of which is deep learning. Therefore, this study uses the Convolutional Neural Network (CNN) algorithm to classify eye diseases using the VGG16 architecture as a base model and will be combined using a fine-tuning model as an optimization to improve accuracy.
Co-Authors Anggyi Trisnawan Putra Arifin, Ilfiana Firzaq Dara Fitria, Noviana Resilita Herman Khotami, Khotami Latif, Siti Musrotul Maulidiah, Sri Nurizzati Nurizzati Rahman, Khairul Yohandri Zulfadhli Zulfadhli