The significant global challenges in eye care are treatment, preventive quality, rehabilitation
services for eye patients, and the shortage of qualified eye care professionals. Early …

Retinal abnormalities impact millions of people globally. Timely detection and treatment of
these abnormalities could prevent further progression, potentially saving countless …

Purpose: The use of fundus images for the screening of different eye diseases is of
significant clinical importance. Early detection and diagnosis of ocular pathologies enable …

Deep learning (DL) is the new high-profile technology in medical artificial intelligence (AI) for
building screening and diagnosing algorithms for various diseases. The eye provides a …

The present study aims to investigate the crucial topic of automated categorization of eye
diseases using medical photographs by utilizing the capabilities of the ResNet-18 model …

Early detection of eye diseases is crucial, particularly for individuals with a family history of
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …

Machine learning-based classification of eye problems is a promising topic for the quick and
accurate diagnosis of eye diseases. It must also address problems including the dearth of …

INTRODUCTION: Diagnosis of medical-related problems is the biggest issue in every era. In
past decades, due to less number of technologies and equipment's it was challenging to …

The pivotal role of initial fundus screening in ophthalmology lies in its efficiency and cost-
effectiveness as a preventive measure against blindness resulting from eye diseases …

Ophthalmic disorders represent a major global health problem leading to visual impairment
and even blindness if not detected and treated early. Deep learning is a popular approach …