Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …

Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Deep learning has attracted wide attention recently because of its excellent feature
representation ability and end-to-end automatic learning method. Especially in clinical …

Retinal illnesses such as age-related macular degeneration and diabetic macular edema
will lead to irreversible blindness. With optical coherence tomography (OCT), doctors are …

Background and objective Age-related macular degeneration (AMD) is the most common
cause of blindness in developed countries, especially in people over 60 years of age. The …

Abstract Background and Objective Retinal diseases are becoming a major health problem
in recent years. Their early detection and ensuing treatment are essential to prevent visual …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

Recently, automatic diagnostic approaches have been widely used to classify ocular
diseases. Most of these approaches are based on a single imaging modality (eg, fundus …

Automatic medical image analysis (eg, medical image classification) is widely used in the
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …

Retinal abnormalities have emerged as a serious public health concern in recent years and
can manifest gradually and without warning. These diseases can affect any part of the retina …