Klasifikasi Penyakit Mata Berdasarkan Citra Fundus Menggunakan Metode Multi-Layer Perceptron
This research aims to evaluate the performance of the Multi-Layer Perceptron (MLP) for classifying eye diseases from fundus images in the ODIR dataset, which comprises four classes: Normal, Diabetic, Glaucoma, and Cataract. The methodology includes feature extraction using GLCM and Gabor, data pre-...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Universitas Islam Negeri Sunan Kalijaga Yogyakarta
2026-05-01
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| Серии: | JISKA (Jurnal Informatika Sunan Kalijaga) |
| Предметы: | |
| Online-ссылка: | https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/6022 |
| Метки: |
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