The rapid development of artificial neural network techniques, especially convolutional
neural networks, encouraged the researchers to adapt such techniques in the medical …

The recent advancements in deep learning technology have significantly transformed the
field of medical imaging, namely in the diagnosis of ocular illnesses. The progress made in …

The early identification of ocular disease (OD) detection is essential in preventing complete
blindness. Although much information is available online, ophthalmologists have valuable …

Due to recent advancements in the field of Artificial Intelligence (AI), many recent techniques
have been developed to objectively identify diseases using images or videos. Eye-related …

Deep learning models are applied seamlessly across various computer vision tasks like
object detection, object tracking, scene understanding and further. The application of cutting …

In Ophthalmology, several eye image related diagnostic methodologies started offering
meaningful insight about eye disease based on huge set of data points and morphological …

Natural eye is influenced by the distinctive eye illnesses some of them are great cause of
vision loss. Many Artificial Intelligence (AI) approaches have been proposed for the …

Abstract As The World Is Moving Into The World Of Technology Classification Of The Eye
Disease Is Considered To Be Having A Clinical Use As It Evaluate And Analysis The …

The automated diagnosis of ophthalmologic diseases to assist the medical ophthalmologist
in their daily practice is the subject of much research. Recently, image processing based on …

Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …