Triwijoyo, Bambang Krismono and Heryadi, Yahya and Lukas, Lukas and Ahmad, Adang S and Sabarguna, Boy Subiroso and Budiharto, Widodo and Abdurachaman, Edi Retina Disease Classification Based on Colour Fundus Images using Convolutional Neural Networks. In: 2017 International Conference on Innovative and Creative Information Technology (ICITech), November 2-4 2017, Salatiga, Indonesia.

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Abstract

This paper explores Convolutional Neural Networks (CNN) as a classifier to recognize retinal images. The dataset used in this research is public STARE color image dataset comprises of 61 X 70, 46 X 53, and 31 X 35 pixels. The dataset is categorized into 15 classes. The experimentation shows that the CNN model can achieve 80.93 percent.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General)
Depositing User:	Bambang Krismono Triwijoyo
Date Deposited:	20 Apr 2023 05:26
Last Modified:	20 Apr 2023 05:26
URI:	http://repository.universitasbumigora.ac.id/id/eprint/2639

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