In this study, a custom Vision Transformer is used for classifying abnormal fundus images
and differentiating them from normal ones. The abnormality in images might be due to any of …

Immediate diagnosis and timely treatment of fundus diseases are crucial in preventing
permanent vision loss. Fundus imaging, a primary method in retinal imaging, effectively …

Glaucoma is a condition that affects the optic nerve, with loss of retinal nerve fibers,
increased excavation of the optic nerve, and a progressive decrease in the visual field. It is …

Deep learning is the most technology in 21century, it gives more information about how
computers can understand data and learning from. In deep learning, networks of artificial …

Abstracts This paper presents a comparative study on different machine learning algorithms
to classify retinal fundus images of glaucoma, diabetic retinopathy, and healthy eyes. This …

Deep learning is rapidly becoming the state of the art, leading to enhanced performance in
various medical diagnosis. In recent years, convolutional neural network (CNN) has been …

There has always been a problem for clinicians to identify eye diseases using fundus
images early enough. Ocular disease diagnosis by hand is an expensive task, prone to …

A sensory organ that reacts to visible light, the human eye is a component of the sensory
nervous system. A new approach is needed since, although physical detection of the eye …

Eye diseases are a diverse group of ocular conditions that can affect the visual health and
overall wellbeing of individuals. The early detection and classification of eye diseases hold …

Various techniques to diagnose eye diseases such as diabetic retinopathy (DR), glaucoma
(GLC), and age-related macular degeneration (AMD), are possible through deep learning …