Eye Disease Classification Using Deep Learning Techniques
Tareq Babaqi Manar Jaradat Ayse Erdem Yildirim Saif H. Al-Nimer Daehan Won
Eye is the essential sense organ for vision function. Due to the fact that
certain eye disorders might result in vision loss, it is essential to diagnose
and treat eye diseases early on. By identifying common eye illnesses and
performing an eye check, eye care providers can safeguard patients against
vision loss or blindness. Convolutional neural networks (CNN) and transfer
learning were employed in this study to discriminate between a normal eye and
one with diabetic retinopathy, cataract, or glaucoma disease. Using transfer
learning for multi-class classification, high accuracy was achieved at 94%
while the traditional CNN achieved 84% rate.