We review the application of artificial intelligence (AI) techniques in the screening,
diagnosis, and classification of diabetic macular edema (DME) by searching six databases …

Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

In this paper, we present a deep-learning-based approach for detection and classification of
macular ailments from Optical Coherence Tomography (OCT) images of the retina. Retinal …

Diabetes mellitus, often known as diabetes, has been recognized as a reason for blindness.
As per the World Health Organization (WHO) report, 2200 million people worldwide are …

Purpose Early detection of retinal disorders using optical coherence tomography (OCT)
images can prevent vision loss. Since manual screening can be time-consuming, tedious …

Diabetic retinopathy (DR) is an eye disease that, if not diagnosed at an early stage, can
cause vision loss and blindness in diabetic patients. Therefore, in the field of ophthalmology …

Vision loss due to chronic-degenerative diseases is a primary cause of blindness worldwide.
Deep learning architectures utilizing optical coherence tomography images have proven …

Diabetic drusen, choroidal neovascularization (CNV), and macular edema (DME) are some
retinal diseases that can cause severe blindness and vision loss. Early diagnosis of retinal …

Deep learning (DL) techniques achieve high performance in the detection of illnesses in
retina images, but the majority of models are trained with different databases for solving one …

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 …