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

Retinal diseases, which cover a variety of eye disorders, are one of the biggest problems
threatening human vision. As diabetic retinopathy, age-related macular degeneration and …

The eyes are the organ of sight and one of the most highly developed sensory organs in our
body which covers a larger part of the brain. One of the most common problems that are …

Glaucoma is a group of eye conditions that damage the optic nerve, the health of which is
vital for good eyesight. This damage is often caused by higher-than-normal pressure in the …

Deep learning is a subset of machine learning where artificial neural networks, algorithms
inspired by the structure of the human brain itself, learn from large amounts of data. In this …

This study proposes a novel methodology for classifying ocular diseases using
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …

In proposed work, we recommend a deep learning-based approach to ocular disease
recognition, which includes diseases that affect the eye health of an individual. The …

Machine learning, with all its predictive capabilities has leant its services to the field of
healthcare extensively. One of the many use cases of ML in healthcare is eye disease …

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 …

Ocular diseases are the global phenomena which can be seen across the globe. There are
several eye diseases like Cataracts, Glaucoma, Diabetic Retinopathy etc., if neglected, or …