Ocular diseases pose significant challenges in timely diagnosis and effective treatment.
Deep learning has emerged as a promising technique in medical image analysis, offering …

This review article represents a major advance in the field of medical imaging and
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …

There are many ocular diseases present in the world. These diseases may arise from factors
such as genetic predisposition, environmental influences, and aging. In recent years …

Currently millions of individuals worldwide are suffering from ocular diseases. Diagnosis of
ocular diseases by conventional methods is challenging, labor-intensive and prone to …

Abstract INTRODUCTION: Diabetic Retinopathy, Cataract and Glaucoma are the major eye
diseases posing significant diagnostic challenges due to their asymptotic nature at their …

Image processing with the help of machine learning algorithms is breaking barriers in
various fields of study, especially in the medical field. Deep learning image classification …

Our eyes are fundamental part of our daily lives, enabling us to engage and interact with the
surroundings. Our eyes serve as vital sensory organs, providing us with a wealth of …

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 …

Early identification and ongoing monitoring of individuals with eye illnesses have been key
concerns in computer-assisted detection. In computer aid screens, detecting one or more …

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